The polls open September 10th for the 2019 SIAM election for President-Elect, Vice President-at-Large, and Secretary, as well as Board of Trustees and Council! Take a few minutes to read the candidate profiles and statements below. The deadline for voting is November 12, 2019.
Voting instructions and credentials will be emailed to SIAM members on September 10, 2019, from Survey and Ballot. Those who have elected to receive information from SIAM by paper or have an invalid email address in our system will receive a ballot in the mail. All other ballots will be distributed via email.
If you use a spam filter, you will want to “whitelist” two email addresses: [email protected] and [email protected]. The first is used to send emails specifically related to the online voting process, including login information. The second address is used for general information related to the election.
Questions regarding the election process can be directed to SIAM Executive Director James Crowley, c/o the SIAM Election Manager. Thanks in advance for your vote!
Candidate Profiles
President-Elect
One SIAM member will be elected President-Elect. The President-Elect will serve as such for one-year, as President for the subsequent two years, and as Past-President for last year. This will total a four-year term.
Term: January 1, 2020 through December 31, 2023
Susanne C. Brenner
Professional Experience:
Professor, Department of Mathematics and Center for Computation & Technology, Louisiana State University (2006—present)
Louisiana State University System Boyd Professor (2017-present)
Associate Director for Academic Affairs, Center for Computation & Technology, Louisiana State University (2008-present)
Nicholson Professor, Department of Mathematics, Louisiana State University (2015—2017) Michael F. and Roberta Nesbit McDonald Professor, Department of Mathematics, Louisiana State University (2010-2015)
Professor, Department of Mathematics, University of South Carolina (1999-2007)
Associate Professor, Department of Mathematics, University of South Carolina (1993-1999), Associate Chair, Department of Mathematics, University of South Carolina (2005-2006)
Assistant Chair, Department of Mathematics, University of South Carolina (2002-2004)
Assistant Professor, Department of Mathematics, Clarkson University (1990-1993)
Postdoctoral Researcher, Department of Mathematics, Syracuse University (1988-1989)
Education:
Ph.D., Mathematics, The University of Michigan
M.S., Applied Mathematics, The University of Michigan
M.A., Mathematics, SUNY at Stony Brook
B.S.Ed., Mathematics and German, West Chester State College
SIAM Activities:
AWM-SIAM Sonia Kovalevsky Lecture prize (2011)
SIAM Vice President for Publications (2010-2011)
Member, SIAM Council (2010-2011)
Associate Editor, SIAM Journal on Numerical Analysis (1997-2002, 2005-present)
Editor, SIAM Classics in Applied Mathematics (2011-2018)
Editor-in-Chief, SIAM Classics in Applied Mathematics (2018-present)
Member, SIAM Book Committee (2013-2018)
Member, SIAM Fellows Selection Committee (2014-2016; Chair 2015-2016)
Member, Organizing Committee, SIAM Annual Meeting (2012)
Member, AWM-SIAM Sonia Kovalevsky Lecture Prize Selection Committee (2012-2014 and 2018-2020, Chair 2013-2014)
Member, Germund Dahlquist Prize Selection Committee (2013)
Member, Selection Committee for Outstanding Paper Prize (2007)
Member, SIAM Coordinating Committee for the Joint Mathematics Meetings (2004-2007)
Founding Faculty Advisor, SIAM Student Chapter at Louisiana State University (2007-present)
Founding Faculty Advisor, SIAM Student Chapter at University of South Carolina (2004-2006)
Professional Memberships:
Member, SIAM
Fellow, SIAM (2010)
Fellow, American Association for the Advancement of Science (2012)
Fellow, American Mathematical Society, Inaugural Class (2013)
Fellow, Association for Women in Mathematics (2020)
Member, SIAM Activity Group on Computational Science and Engineering
Member, United States Association for Computational Mechanics
Research Interests:
Numerical Analysis, Scientific Computing, Finite Element Methods, Multigrid and Domain Decomposition Methods, Computational Mechanics, Computational Electromagnetics, PDE Constrained Optimization.
Website: https://www.math.lsu.edu/~brenner/
Candidate Statement:
It is a great honor to be nominated for the position of President-Elect of SIAM. I have been a SIAM member since I was a graduate student and have experienced over the years the many benefits that a SIAM membership brings. This is a wonderful opportunity for me to serve the SIAM community and to contribute to the continuing success of SIAM.
SIAM serves the research community through its excellent journals, conferences and activity groups. As such, it is important to identify new areas of research through the collective efforts of the SIAM members and to be nimble and thoughtful in the creation of new journals, conferences and activity groups. At the same time, SIAM should also continue to foster the growth of all the existing areas of excellence within the SIAM community.
In the U.S., SIAM is the premier organization that brings applied mathematicians in industry/labs and academia together. The opportunities for interdisciplinary research collaborations and career development resulting from the interactions of the two communities are valuable benefits unique to the SIAM membership. SIAM should endeavor to further strengthen the ties between these communities.
SIAM student chapters are great venues for the promotion of applied mathematics and career opportunities outside academia, and the number of chapters has increased steadily over the years. Nevertheless, all too many undergraduate mathematics majors in the U.S. remain unaware of the fascinating subjects and opportunities in applied mathematics and computational science. Successful outreach to these students will help to enlarge the pipeline.
The collaboration between mathematics and science and technology is an international undertaking. SIAM should embrace the global opportunities and continue to support meetings outside the U.S. and to promote international student chapters, especially in developing countries.
SIAM publishes some of the best journals in applied and computational mathematics, and the revenue generated by SIAM journals is a major source of income. This important enterprise will be impacted by the open access mandates. It is therefore paramount that SIAM plays a role in charting the path forward for society publishers so that the high quality of SIAM journals is maintained and the finances of SIAM remain healthy.
Last but not least, the active participation of all stakeholders is vital to the success of SIAM. This can only be ensured by a proactive policy of inclusiveness. It is crucial that SIAM continues to promote diversity in all its forms in all SIAM activities.
If elected, I will solicit input from the membership and work with the outstanding officers and staff of SIAM to meet challenges and opportunities, and to strive for best practices in all the endeavors towards the SIAM mission of building cooperation between mathematics and the worlds of science and technology.
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Bruce Hendrickson
Professional Experience:
Associate Director for Computing, Lawrence Livermore National Laboratory (2017-present)
Director of the Center for Computing Research, Senior Manager for Computational Science and Mathematics, and Distinguished Member of Technical Staff, Sandia National Laboratories (1990-2017)
Affiliated Professor, Department of Computer Science, University of New Mexico (1997-2017)
Program Manager for DOE’s Applied Mathematics Research Program (2000)
Education:
Ph.D., Computer Science, Cornell University (1991)
M.S., Physics, Brown University (1982)
B.A., Mathematics, Brown University (1982)
SIAM Activities:
Member, SIAM Committee on Science Policy (2017–Present)
Chair, SIAM Committee on Activity Groups (2016–2018)
Member, SIAM Council (2008–2014)
Member, SIAM Fellows Selection Committee (2012–2014)
Member, SIAM Dénes König Prize Committee (2014)
Council Representative to the SIAM Board (2009–2010)
Member, SIAM Committee on Programs and Conferences (2008–2013)
Member, SIAM Major Awards Committee (2007–2010)
Member, SIAM Nominating Committee (2001–2003)
Member, SIAM Ad Hoc Committee on SIDMA (2008)
Chair, SIAM Ad Hoc Committee on Proceedings (2006–2007)
Chair, SIAM Ad Hoc Committee on Discrete Mathematics (2002–2003)
Member, Editorial Board, SIAM Journal on Matrix Analysis and Applications (2009–2014)
Member, Editorial Board, SIAM Review (2003–2008)
Member, Editorial Board, SIAM Journal on Scientific Computing (1999–2004)
Invited lecturer, SIAM Conference on Computational Science and Engineering (2003)
Invited lecturer, SIAM Annual Meeting (2018)
Co-Chair, SIAM Annual Meeting (2013), SIAM Conference on Computational Science (2007), SIAM Workshop on Combinatorial Scientific Computing (2004 & 2007), SIAM Conference on Parallel Processing (1999)
Member, Organizing Committee, SIAM Conference on Parallel Processing (2004 & 2016), SIAM Conference on Applied Linear Algebra (2015), SIAM/ACM Conference on Algorithm Engineering & Experiments (2013 & 2014), and SIAM Matrix-Based Information Processing Symposium (2005)
Program Director, SIAM Activity Group on Supercomputing (1997–2000)
Professional Memberships:
Member and Fellow, American Association for the Advancement of Science
Member, Association for Computing Machinery, including Special Interest Group on High Performance Computing and Special Interest Group on Algorithms and Complexity Theory
Member, IEEE Computer Society
Member, SIAM
Member, SIAG on Computational Science and Engineering
Member, SIAG on Linear Algebra
Member, SIAG on Supercomputing
Member, SIAG on Applied and Computational Discrete Algorithms
SIAM Fellow (2012)
Research Interests:
Computational and applied mathematics and algorithms, specifically combinatorial scientific computing, linear algebra and preconditioning, parallel algorithms, graph theory, data mining, computer architecture.
Website: https://people.llnl.gov/hendrickson6
Candidate Statement:
We are entering a golden age for applied math and for SIAM as applied mathematics is central to an ever-expanding set of scientific and societal concerns. Mathematical advances are needed to address many of the pressing challenges of our era including understanding climate change, evaluating alternative energy technologies, gaining insight from vast quantities of information, and optimizing public health. These and many other problems will require research that crosses traditional mathematical boundaries and bridges between math and applications. SIAM is uniquely positioned to facilitate these interactions and to enable these advances. SIAM’s contributions to education, outreach, networking, and advocacy are all central to the health of the mathematical community and its ability to impact the larger world.
SIAM itself is at a critical crossroads due to changes in the external environment. The rapid growth of the open access movement will require deep thinking about SIAM’s business model in which profits from publications subsidize other activities. Technological advances are creating new models for delivering educational material, for collaborating, and for networking. Declining appreciation and respect for scientific knowledge and expertise is undermining effective public policy. Emerging, transformative technologies like machine learning are desperately in need of robust mathematical foundations. These changes to the external environment provide both challenges and opportunities for SIAM that I intend to address as President.
SIAM has been my professional home for my entire career. I am highly appreciative of those who have built it into the extraordinary organization it is today, and I am deeply committed to seeing it continue to grow and prosper. It has been a privilege for me to work in support of SIAM in many ways throughout the years, and I look forward to the opportunity to further serve the community as President. In this role, I will do the following.
- Ensure a sustained commitment to SIAM’s cornerstone activities – world-leading journals, outstanding conferences, and growing the next generation of applied mathematicians.
- Continue to expand efforts to make sure that our community is fully inclusive and welcoming.
- Nurture the growth of data science and machine learning activities within SIAM by, for instance, advocating for the critical roles for mathematics in these fields and broadening our industrial engagements to a new set of partners.
- In collaboration with peer societies, grow SIAM’s educational and outreach activities to help communicate the importance of science to the public at large and to key decision makers.
- Develop a plan to secure the long-term financial health of the society.
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Vice President-at-Large
One SIAM member will be elected Vice President-at-Large this year for a two-year term. The Vice President-at-Large cannot serve more than three consecutive terms.
Term: January 1, 2020 through December 31, 2021
*indicates an incumbent candidate
Carol S. Woodward
Professional Experience:
Project Leader, Center for Applied Scientific Computing (CASC), Lawrence Livermore National Laboratory (LLNL) (1999-present)
Numerical Methods Group Leader, CASC, LLNL (2002-2006)
Research Staff Member, CASC, LLNL (1997-present)
PostDoctoral Staff Member, CASC, LLNL (1996-1997)
Education:
Ph.D., Computational and Applied Mathematics, Rice University
M.A., Computational and Applied Mathematics, Rice University
B.S., Mathematics, Louisiana State University
SIAM Activities:
SIAM Vice President-at-Large (2018-2019)
Chair, SIAM Major Awards Committee (2018-2019)
Member, SIAM Council (2010-2015)
Editorial Board, SIAM Journal on Scientific Computing (2013-2018)
Editorial Board, SIAM News (2012-2015)
Chair, SIAG on Geosciences (2015-2016)
Chair, SIAM/ACM Computational Science and Engineering Prize Selection Committee, 2015; Member, 2013
Panelist, Professional Development panel at the SIAM Computational Science and Engineering meeting, 2015; SIAM Annual Meeting, 2009
SIAM Council representative to SIAM Board (2014-2015)
Participant in SIAM-EESI Workshop on Future Directions in CS&E Education and Research (2014)
Member, SIAM Diversity Advisory Committee (2014-2017)
Vice-Chair, SIAG on Computational Science and Engineering (2011-2012)
Secretary, SIAG on Computational Science and Engineering (2009-2010)
Member, Editorial Board, SIAM Journal on Numerical Analysis (2004-2012)
Co-Chair, Organizing Committee, SIAM Conference on Computational Science and Engineering (2009)
Member, SIAM Fellows Committee (2007-2008)
Program Chair, SIAG on Computational Science and Engineering (2007-2008)
Secretary, SIAG on Geosciences (2007-2008)
Member, Organizing Committee, SIAM Annual Meeting (2005, 2012)
Member, Organizing Committee, SIAM Conference on Computational Science and Engineering (2011)
Member, Organizing Committee, SIAM Conference on Mathematical and Computational Issues in the Geosciences (2003, 2015)
Guest member, Editorial Board, SIAM Journal on Scientific Computing special issues for the Copper Mountain Conference (2008, 2010, 2012, 2014, 2016, 2018)
Organizer of minisymposia at SIAM Annual Meeting (2002, 2004, 2009, 2010, 2011, 2012, 2014); SIAM Conference on Geosciences (2003, 2007, 2011, 2019); SIAM Conference on Uncertainty Quantification (2012); SIAM Conference on Mathematics of Planet Earth (2016); SIAM Conference on Parallel Processing (2014); and SIAM Conference on Computational Science and Engineering (2000, 2007, 2011, 2013).
Professional Memberships:
Member, SIAM
Fellow, SIAM
Member, SIAG on Geosciences
Member, SIAG on Computational Science and Engineering
Member, SIAG on Mathematics of Planet Earth
Member, SIAG on Supercomputing
Member, Association for Women in Mathematics
Member, American Geophysical Union
Member, IEEE
Research Interests:
Scientific simulation and verification; numerical nonlinear solvers and time integrators; parallel computing; numerical methods for scientific models such as subsurface flow, climate simulation, power grids.
Website: https://people.llnl.gov/woodward6
Candidate Statement:
SIAM has been and continues to be a strong professional resource for applied mathematicians and computational scientists in industry, government labs, and academia. SIAM’s conferences are frequently a place for connecting related work in differing applications and industries. SIAM journals are at the top of their respective areas and are typically the first place many go to for high-quality papers. SIAM Activity Groups aid in connecting members with like research interests and foster healthy research communities. In addition, SIAM Prizes and Awards recognize achievements in applied mathematics and bring prestige to applied and industrial mathematics worldwide. In the coming years, however, our field will face new challenges with SIAM as the main society that serves them. I expect we will see continued growth in applied mathematics and computational science throughout the world. We are seeing significant changes in high-end computer architectures focusing demand for new algorithms and synergy between mathematicians and computer scientists. In addition, decreasing journal subscriptions and open access requirements are challenging the journal revenue generation that SIAM relies on for much of its budget. Through the office of Vice-President-At-Large, I hope to continue to help SIAM meet these challenges by supporting our Activity Groups in developing and maintaining their research communities and through stimulated recognition of our fields through the various SIAM Prize and Fellows Programs. This work will include helping SIAM continue to: strengthen its engagement with industrial applied mathematicians; expand its conferences and networking opportunities throughout our international community; and increase recognition for applied and industrial mathematics.
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Misha E. Kilmer
Professional Experience:
Chair, Tufts University Department of Mathematics (2013-2019)
William Walker Professor of Mathematics, Tufts University (2016 – Present)
Professor of Mathematics, Tufts University (2005- 2016)
Adjunct Professor of Computer Science, Tufts University (2005- present)
Assistant Professor of Mathematics, Tufts University (1999-2005)
Adjunct Assistant Professor of Computer Science, Tufts University (2001-2005)
Visiting Scientist, Electrical and Computer Engineering Department, Northeastern University (1998 – 1999)
Education:
Ph.D., Applied Mathematics, University of Maryland, College Park (December 1997)
M.A., Mathematics, Wake Forest University (May 1994)
B.S., Mathematics, Wake Forest University (May 1992)
SIAM Activities:
Section Editor, Research Spotlights, SIAM Review, (2018-present)
Associate Editor, SIAM Journal on Scientific Computing (2009-present)
Associate Editor, SIAM Journal on Matrix Analysis and Applications (2012-2017)
Associate Editor, SIAM Undergraduate Research Online (2009-2013)
Co-Chair, SIAM Conference on Computational Science and Engineering (2021)
Co-Chair, SIAM Conference on Applied Linear Algebra (2021)
Member, Organizing Committee, SIAM Annual Meeting (2012)
Member, Organizing Committee, SIAM Conference on Imaging Science (2012)
Member, Organizing Committee, SIAM Conference on Computational Science and Engineering (2009)
Organizing Committee Member, SIAM Conference on Applied Linear Algebra (2009)
Secretary, SIAG on Linear Algebra (2003-2006)
Nominating Committee SIAG on Linear Algebra (2006 (Chair), 2009,2012)
Mid-Career Panelist, SIAM Conference on Computational Science and Engineering (2019)
Member, Selection Committee, Gene Golub SIAM Summer School (2018 – 2021)
Member, Prize Committee, SIAG on Computational Science and Engineering Early Career Prize (2016-2017)
Member, Prize Committee, SIAG on Linear Algebra Best Paper Prize (2015)
SIAM representative to the SIAM/AWM Sonia Kovalevsky Lecture Awards Committee (2007-2008)
Career Panelist, SIAM Annual Meeting (2016)
Co-organizer, Session on Career Development, SIAM Annual Meeting (2008) and SIAM Conference on Computational Science and Engineering (2009)
Panelist, Computational Science and Engineering Education, SIAM Conference on Computational Science and Engineering (2009)
SIAM Student Chapter Faculty Advisor, Tufts University (2004 – 2009)
Professional Memberships:
Member, SIAM
Fellow, SIAM
Member, SIAG on Computational Science and Engineering
Member, SIAG on Linear Algebra
Member, SIAG on Imaging Science
Member SIAG on Data Mining and Analytics
Member, Association for Women in Mathematics
Research Interests:
Numerical Linear/Multilinear Algebra, Inverse Problems, Scientific Computing, Data Compression/Classification.
Website: https://mkilme01.pages.tufts.edu/
Candidate Statement:
SIAM has built, and continues to support, a broad community of researchers in applied mathematics, engineering, and computational science. The number of activity groups, the healthy attendance at conferences, and the increasing numbers of student chapters and regional activities is a testament to the wide range of research interests served by the society and its strengths as an organization.
One of the primary roles of the Vice-President-At-Large is to oversee the work and membership of the prize committees. As such, I would be engaged in efforts aimed at encouraging diverse committee membership and in helping improve efforts aimed at securing a diverse slate of prize nominees. To the extent the role allows, I would work with the activity group leadership teams to promote and support their efforts, particularly those targeting increasing membership of and activity by early- and mid-career researchers. It would be a privilege to work with the rest of the SIAM leadership at maintaining SIAM’s signature strengths and in developing new plans and processes that will promote additional visibility and involvement.
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Secretary
One SIAM member will be elected Secretary this year for a two-year term. The Secretary cannot serve more than three consecutive terms.
Term: January 1, 2020 through December 31, 2021
*indicates an incumbent candidate
Chen Greif
Professional Experience:
Department Head, Computer Science, The University of British Columbia (2016-present)
Professor of Computer Science, The University of British Columbia (2012-present)
Associate Head of Undergraduate Affairs, Department of Computer Science, The University of British Columbia (2013-2015)
Associate Professor of Computer Science, The University of British Columbia (2007-2012)
Assistant Professor of Computer Science, The University of British Columbia (2002-2007)
Senior Software Engineer, Parametric Technology Corporation (2000-2002)
NSERC Postdoctoral Fellow, Stanford University (1998-2000)
Software Developer, Teledata Communications (1991-1994)
Education:
Ph.D., Applied Mathematics, The University of British Columbia (1998)
M.Sc., Applied Mathematics, Tel Aviv University (1994)
B.Sc., Applied Mathematics, Tel Aviv University (1991)
SIAM Activities:
SIAM Secretary (2018-present)
Associate Editor, SIAM Journal on Scientific Computing (2011-present)
Chair, SIAM Committee on Committees and Appointments (2018-present)
Member, SIAM Council (2018-present)
Member, SIAM Major Awards Committee (2018-present)
Member, SIAM Book Committee (2017-present)
Editorial Board Member, SIAM Computational Science and Engineering book series (2015-present)
Member, SIAG on Computational Science and Engineering Officers Nominations Committee (2018)
Chair, Gene Golub SIAM Summer School Committee (2014-2017)
Chair, Prize Committee, James H. Wilkinson Prize in Numerical Analysis and Scientific Computing (2017)
Co-Chair, SIAM Conference on Applied Linear Algebra (2015)
Member, SIAG on Linear Algebra Officers Nominations Committee (2015)
Program Director, SIAG on Linear Algebra (2010-2012)
Member, Gene Golub SIAM Summer School Committee (2010-2013)
Member, Program Committee, SIAM Annual Meeting (2014)
Member, Program Committee, SIAM Applied Linear Algebra Conference (2012)
Member, Program Committee, SIAM Applied Linear Algebra Conference (2009)
Professional Memberships:
Member, SIAM
Member, Canadian Applied and Industrial Mathematics Society (CAIMS)
Member, Association for Computing Machinery
Member, SIAM Activity Group on Linear Algebra
Member, SIAM Activity Group on Computational Science and Engineering
Member, International Linear Algebra Society
Research Interests:
Scientific computing, numerical linear algebra, constrained optimization, numerical solution of elliptic partial differential equations.
Website: http://www.cs.ubc.ca/~greif
Candidate Statement:
I have greatly enjoyed being part of the leadership team of SIAM in the last couple of years as SIAM Secretary. SIAM is an exceptional society and a strong leader at the forefront of applied mathematics and computational science. These are exciting times for computational science and data science, and it is important for SIAM to respond well to emerging trends. If elected for a second term, I will continue to work to keep the exceptional quality of SIAM’s committees. We will continue to strengthen diversity and assure renewal. I have vast experience from other leadership roles that I have been fortunate to have, in particular as Department Head at UBC and various appointments within SIAM. I look forward to having an opportunity to continue to make a positive impact in fulfilling the vision and the important goals that stand in front of SIAM in the coming years.
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Susan E. Minkoff
Professional Experience:
Faculty Research Fellow, Statistical and Applied Mathematical Sciences Institute (SAMSI) (2018)
Professor, Department of Mathematical Sciences, Affiliated Professor, Geosciences Department, Affiliated Professor, Department of Science/Mathematics Education, University of Texas at Dallas (2012-present)
Assistant, Associate, Full Professor, Department of Mathematics and Statistics, University of Maryland, Baltimore County (2000-2012)
Oden Faculty Research Fellow, Institute for Computational Engineering Sciences (ICES) and the Department of Petroleum and Geosystems Engineering, The University of Texas at Austin, (2007)
Senior Member of Technical Staff, Geophysical Technology Department, Sandia National Laboratories, Albuquerque, NM (2000)
Von Neumann Fellow in Computational Sciences, Applied Mathematics Department, Sandia National Laboratories, Albuquerque, NM (1997-2000)
National Science Foundation Industrial Postdoctoral Fellow, Computational and Applied Mathematics, University of Texas at Austin & British Petroleum (1995-1997)
Senior Systems Analyst, Exxon Company U.S.A. (1988-1989)
Systems Analyst, Exxon Company U.S.A. (1986-1988)
Education:
Ph.D., Computational and Applied Mathematics, Rice University (1995)
M.A., Computational and Applied Mathematics, Rice University (1993)
B.S., Mathematics and Computer Science, Duke University (1986)
SIAM Activities:
Co-Chair, SIAM Conference on Mathematical & Computational Issues in the Geosciences (GS19) (March 2019)
Chair, SIAG on Geosciences (2017-2018)
Member, SIAM Workshop Celebrating Diversity Subcommittee (2013-2016)
Committee Chair, SIAM Workshop Celebrating Diversity Subcommittee (2014-2015)
Member, Prize Committee, SIAG on Geosciences (2014-2015)
Member, Editorial Board, SIAM Undergraduate Research Online (2015-2018)
Member, Editorial Board, SIAM Mathematics in Industry book series (2014-present)
Member, Editorial Board, SIAM News (2013-present)
Chair, SIAM Membership Committee (2009-2013)
Creator and editor of the "Careers in Mathematical Sciences" column, SIAM News (2010-2016).
Member, SIAM Membership Committee (2008-2009).
Member, Organizing Committee for the SIAM Conference on Computational Science and Engineering (2015)
Member, Organizing Committee for the SIAM Conference on Mathematical and Computational Issues in the Geosciences (2011)
Member, Organizing Committee, SIAM Conference on Mathematical and Computational Issues in the Geosciences (2009)
Member, Organizing Committee, SIAM Conference on Mathematical and Computational Issues in the Geosciences (2007)
Faculty Advisor and co-Founder of the Joint University of Texas at Dallas - Southern Methodist University SIAM Student Chapter (2013-2019)
Faculty Advisor and Founder, SIAM Student Chapter at University of Maryland, Baltimore County (2008-2011)
Professional Memberships:
Member, SIAM
Member, The Society of Exploration Geophysicists
Research Interests:
Scientific Computing, Numerical Analysis, Inverse Problems, Uncertainty Quantification.
Website: https://www.utdallas.edu/~sminkoff/
Candidate Statement:
The primary responsibility of the SIAM Secretary is to chair the Committee on Committees and Appointments which has oversight of the SIAM committees that are not elected. I have had extensive experience on two of these committees (Diversity and Membership) and have interacted with others on the Industry Committee. I served on the Workshops Celebrating Diversity Subcommittee, chairing this committee for one year. However, my primary experience is with the Membership Committee which I chaired for four and a half years. I took this committee responsibility very seriously, brainstorming by phone every month with the SIAM Membership Manager and meeting several times a year with the committee members. During this period the Membership Committee implemented several new initiatives including a reciprocity agreement with the Association for Women in Mathematics (AWM), and we placed a strong emphasis on students and industrial members. These initiatives paid off with an increase in membership at that time (highlighted by Doug Arnold in his Past President's address).
The increase in new members was in part due to an increase in student members, and it became clear to me that what students really wanted was more career information. Thus the Career Column for SIAM News was born in 2010. I edited and solicited articles for this column for 6 years resulting in 24 columns in total.
It is easy for committees to be fairly passive. My goal is to ensure the committees I chair are as active as possible and have an impact. I try to hear from everyone on the committee and to get the members to work towards implementing ideas about which they are passionate. One of SIAM's biggest challenges is to attract a larger chunk of industrial members. What we found was that often companies (even large companies) have only one or two SIAM members, and this small SIAM presence is often due to the fact that many people are only members of one professional organization (say an engineering or applied science society). However, working towards increasing the number of SIAM industry members is still an important goal.
While SIAM has typically been more egalitarian than some professional engineering societies (fewer levels of membership for senior vs junior members, for example) there is always room for improvement in terms of attracting a more diverse membership. Finally, with fields like machine learning and data science gaining such widespread popularity, SIAM should continue to address what real role applied mathematicians can play. How can more rigor be brought to bear in these burgeoning fields? Addressing such questions may also attract more members from industry.
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Board of Trustees
Three SIAM members will be elected to the Board this year for a three-year term. The Board consists of nine elected Trustees, up to two appointed Trustees, and the President and Treasurer. Board members cannot serve more than three consecutive terms.
Term: January 1, 2020 through December 31, 2022
*indicates an incumbent candidate
Margot Gerritsen
Professional Experience:
Senior Associate Dean, School of Earth, Energy and Environmental Sciences, Stanford University (2015-present)
Co-Director, Global Women in Data Science conference, datathon, and podcast (2015 – present)
Director, Institute for Computational & Mathematical Engineering, Stanford University (2010-2018)
Faculty, Energy Resources Engineering, Stanford University (2001-present)
Faculty by courtesy, Departments of Mechanical Engineering and Civil and Environmental Engineering, Stanford University (2004-present)
Faculty, Department of Engineering Science, University of Auckland (1996 – 2001)
Visiting faculty positions, University of Bergen (Professor II, 2010-2016), Institut National Politechnique de Toulouse (2013), Uppsala University (periodically from 2008), Delft University of Technology (2008-2009)
Education:
Ph.D., Scientific Computing and Computational Mathematics, Stanford (1997)
M.S., Applied Mathematics, Delft University of Technology (1990)
SIAM Activities:
SIAM Fellow (2018)
Member, SIAM Board (2017 – 2019)
Member, SIAM Financial Management Committee (2017 – 2019)
Co-chair and local host, SIAM Conference on Mathematical and Computational Issues in the Geosciences (2015)
Co-chair, SIAM Annual Meeting (2014)
Chair, SIAM Activity Group on Geosciences (2007-2011)
Member, SIAM Council (2008-2012)
Member, Editorial Board, SIAM Review (2012 – present)
Professional Memberships:
Member, SIAM
Member, Society of Petroleum Engineers
Member, American Physical Society
Member, KNVI (Dutch Computer Society for IT-professionals)
Research Interests:
Numerical analysis, reservoir simulation, numerical linear algebra, computational fluid dynamics, tidal modeling.
Website: https://gerritsn.people.stanford.edu/
Candidate Statement:
Serving on the SIAM Board has been wonderful the last two years and a great way to give back to an organization that has meant much to me, my colleagues, and our students. I’d love to stay on the board for another term. My main foci are education (undergrad through postdocs) as well as diversity. I’ve become very interested in ethics, fairness, transparency, and accountability related to computational math and data science in particular. SIAM and its members can play a strong role in educating current and future decision makers (in industry, academia, nongovernmental organizations, and government). As to diversity, or inclusiveness, this is unfortunately still an area in which we can do much better, at SIAM, but also in our wider professional and academic circles. When I started my degree program in applied mathematics, I thought that by the time I'd be old (which according to my 18-year-old self I now definitely am!), we would have reached near gender parity, and would have seen much larger numbers of underrepresented minorities (URM). I co-founded the Global Women in Data Science (WiDS) conference, datathon, and podcast to educate, inspire and support women in data science. WiDS has strong synergy with SIAM. Apart from women, diversity certainly also means increasing the number of URM in SIAM and the field as a whole. I’m keen to contribute what I can to that mission.
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Alain Goriely
Professional Experience:
Director of the Oxford Centre for Industrial and Applied Mathematics (OCIAM) (2017-present)
Professor and Statutory Chair of Mathematical Modelling, University of Oxford (2010-present)
Assistant, Associate, Full Professor, Department of Mathematics, University of Arizona (1998-2010)
Lecturer, Mathematics Université Libre de Bruxelles (1996-1999)
Education:
Ph.D., Université Libre de Bruxelles (1994)
Licence en Science Physique, Université Libre de Bruxelles (1989)
SIAM Activities:
Elected SIAM Fellow (2018)
Editor, SIAM Journal on Applied Mathematics
Professional Memberships:
Member and Fellow, SIAM
Member, London Mathematical Society
Fellow, The Institute of Mathematics and its Applications (UK)
Member, International Society for the Interaction of Mathematics and Mechanics
Research Interests:
Mathematical aspects of mechanics. Development of analytical and numerical techniques for the statics and dynamics of elastic materials. Multiscale and multiphysics modelling with applications to engineering structures, batteries, photovoltaics, soft tissues, and the modelling of biological growth. Brain modeling. Mathematical methods: Dynamical systems, integrability theory, pattern formation, localized structures, perturbation methods.
Website: http://goriely.com
Candidate Statement:
Early in my career, I found SIAM to be a friendly inclusive community that shaped my vision of applied mathematics and gave me an academic home. I have been a longtime member of SIAM, have given multiple keynote lectures, organised minisymposia, initiated and acted as faculty advisor for the first SIAM Student Chapter in Arizona, worked as an editor for the SIAM Journal on Applied Mathematics for many years, was invited multiple times by various SIAM Student Chapters, and recently became a SIAM Fellow.
Today, SIAM is a vibrant and exciting society that brings people from multiple backgrounds around the unifying principle of applied mathematics. It has played an important role in establishing applied mathematics as a discipline and is a driver for its continued development.
As a Board member, my first goal is to promote academic excellence while preserving the delicate balance between numerical analysis, traditional applied mathematics, and industry. This balance is crucial for members to feel included and fully benefit from the full breadth of knowledge and ideas that SIAM has to offer. Second, I strongly believe that student participation in SIAM is the jewel in its crown. It is what helps the society rejuvenate itself constantly, it forces us to listen to new ideas and to adopt new modes of interaction while ensuring diversity. I will continue to push for student involvement at all levels in SIAM. Third, SIAM is becoming a global society and I will ensure that various communities around the world are represented within the society. Finally, the danger for a society like SIAM as it grows is that it becomes an administrative juggernaut that does not reflect its membership. Due to enlightened leadership, strong bylaws, and an outstanding staff, this has not happened. As a Board member, I will keep reminding the society of its role in serving the community and its main mission: "to build cooperation between mathematics and the worlds of science and technology.”
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Peter Jimack
Professional Experience:
Professor of Scientific Computing, School of Computing, University of Leeds, UK (2003-present)
Director, EPSRC Centre for Doctoral Training in Fluid Dynamics at Leeds (2014-present)
Executive Dean of Faculty of Engineering, University of Leeds, UK (2010-2019)
Vice-Dean for Research, Faculty of Engineering, University of Leeds, UK (2007-2010)
Associate Professor, School of Computing, University of Leeds, UK (1997-2003)
Lecturer in Mathematics Software, School of Computing, University of Leeds, UK (1990-1997)
Research Associate, Department of Mathematics, Heriot-Watt University, UK (1989-1990)
Education:
Ph.D., Mathematics, University of Bristol (1990)
BSc., Mathematics, University of Bristol (1986)
SIAM Activities:
Associate Editor, SIAM Journal on Scientific Computing (2010-present)
Chair, Selection Committee, SIAM Activity Group on Computational Science and Engineering (SIAG/CSE) Early Career Prize (2019)
Member, Selection Committee, SIAM Activity Group on Computational Science and Engineering (SIAG/CSE) Early Career Prize (2017)
Secretary and Treasurer, U.K. and Republic of Ireland Section of SIAM (2000-2002)
Professional Memberships:
SIAG on Computational Science and Engineering
SIAG on Supercomputing
Research Interests:
Efficient, accurate, and reliable computational methods for the solution of partial differential equations (PDEs) with specific focus on adaptive, multilevel, and parallel algorithms and fluid dynamics applications. In collaboration with subject experts, we have successfully applied such techniques to problem domains including Earth science, atmospheric chemistry, mechanical engineering, and materials science.
Website: https://engineering.leeds.ac.uk/staff/82/professor_peter_jimack
Candidate Statement:
I am proud to have been an active member of SIAM for over 30 years and would be honoured to have the opportunity to contribute to the future direction of SIAM should I be elected to serve on the Board of Trustees.
SIAM is a truly international society, with over 14,000 members from more than 100 different countries. This places it in a unique position to influence a wide range of agendas from supporting the professional development of individual members at all stages in their careers to influencing the external landscape through enhanced engagement with industry, funding bodies, and governmental agencies. I would actively support such external engagement should I be elected: indeed, given SIAM’s reliance on journal publishing income to support our professional activities, it is essential that we continue to engage with government agencies (especially in Europe) over future plans for paying for access to academic publications. In the longer term we may also need to consider potential revisions to the current model for SIAM journals, beyond how they are funded.
I have obtained significant leadership experience in my professional career so far, including 9 years serving as Dean of Engineering at the University of Leeds. During this time, I have learned the importance of developing a long-term and proactive approach to increasing diversity in both our student body and our academic community. I know that SIAM is committed to this goal and I believe that I can contribute to the continued development of strategies to accelerate and enhance this agenda. This includes promoting a diverse definition of our discipline, and for example, reflecting current developments in topics such as data science and machine learning to ensure that all practitioners are represented and to potentially increase membership.
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Kirk E. Jordan
Professional Experience:
IBM Distinguished Engineer, IBM T.J. Watson Research, and Chief Science Officer, IBM Research UK (2013-Present)
Emerging Solutions Executive, Computational Science Center, IBM T.J. Watson Research (2008-2013), Deep Computing, IBM Systems (2004-2008), IBM Healthcare & Life Sciences (2001-2004)
Senior Program Manager, Scientific & Technical, IBM University Relations (1997-2001)
Program Manager, IBM Scientific & Technical Systems & Solutions (1994-1997)
Research Affiliate, Department of Aeronautics and Astronautics, MIT (1997-present)
Senior Computational Scientist, Kendall Square Research Corporation (1993-1994)
Computational Science Advisor, Thinking Machines Corporation (1989-1993)
Staff Mathematician, Exxon Research and Engineering (1981-1989)
Adjunct Professor, Rutgers University (1984-1986)
Assistant Professor, State University of New York at Oswego (1979-1981)
Education:
Ph.D. and M.S., Applied Mathematics, University of Delaware
B.S., Mathematics, Hobart College
SIAM Activities:
Member, SIAM Conference on Parallel Processing Program Committee (2019-2020)
Member, SIAM Fellows Selection Committee (2017-2019)
Member, SIAM Committee on Science Policy (1998-2018)
Chair, SIAM Membership Committee (2014-2016)
Member, SIAM Membership Committee (2012-2014)
Future Directions in CSE Education & Research Committee (2014)
SIAM Nominating Committee (2012-2013)
SIAM-EU-Math Rep (2013)
SIAM Industry Committee (2012-2014)
Associate Editor, SIAM Journal on Imaging Sciences (2007-2014)
Math in Industry Steering Committee (2008-2010)
Chair, SIAG on Computational Science and Engineering (SIAG/CSE) (2011-2012)
ICIAM Industrial Program Committee (2011)
Vice Chair, SIAG/CSE (2009-2010)
Secretary, SIAG/CSE (2007-2008)
Co-Chair, SIAM Conference on Computational Science and Engineering (2009)
Co-Chair, SIAM Conference on Mathematics for Industry: Challenges and Frontiers (2007)
SIAM Vice President for Industry (2001-2006)
Organizing Committee, SIAM Conference on the Life Sciences (2010)
Organizing Committee, SIAM Conference on Math for Industry (2003-2010)
Organizing Committee, SIAM Annual Meeting (2006)
Program Committee, SIAM Conference on Computational Science and Engineering (2005)
Program Committee, SIAM Conference on Parallel Processing for Scientific Computing (2004)
SIAM Visiting Lecturer Program (1992- ~2010)
Professional Memberships:
Fellow, American Association for Advancement of Science (AAAS)
Fellow, Association for Computing Machinery
Fellow, IEEE Computer Society
Member, International Society for Computational Biology: ISCB
Member, Sigma Xi
Member, SIAM
Member, SIAG on Computational Science and Engineering
Member, SIAG on the Life Sciences
Member, SIAG on Supercomputing
Member, SIAG on Geosciences
Member, SIAG on Imaging Sciences
Member, SIAG on Uncertainty Quantification
Member, Executive Research Board, IBM Alberta Center for Advanced Studies, University of Alberta
Chair, Advisory Board, Math Sciences, Worcester Polytechnic Institute
Board of Visitors, Oden Institute, University of Texas at Austin
National Advisory Board, Statistics and Applied Mathematical Science Institute
External Advisory Board, Department of Computer Science and Engineering, University of Connecticut
Advisory Board, Center for Scientific Computing & Visualization Research, University of Massachusetts Dartmouth,
Research Interests:
Efficient use of advanced architecture computers with heterogenous nodes including a variety of accelerators for simulation and modeling especially in the area of systems biology and physical phenomena. Developing new algorithms that exploit current and emerging computer architectures while making such systems accessible to non-(high performance) computing experts (e.g. wet lab formulation chemists) leading to consumable computing. More recently, incorporating artificial intelligence and machine learning techniques into the simulation of physical phenomena in order to compute smart, ultimately leading to intelligent simulations that will exploit advance architecture in novel ways addressing industrial and societal challenges.
Website: http://researcher.ibm.com/person/us-kjordan
Candidate Statement:
Computing—especially at the high end—is rapidly changing due to changing computing architectures but also due to changing dynamics as a consequence of the data deluge. Also, the consumption model of computing and the education of those that will develop and rely on computing is drastically changing. New algorithms are needed to exploit emerging architectures and the new consumption models as we have seen in the CS&E community. Data driven models show promise in many areas but, in my opinion, much more effort and involvement from the applied mathematics community is required before we can fully understand and begin to trust these data-driven models. Coupling data-driven and physics-driven models in multiples ways is a challenge that needs to be addressed. These are new areas for SIAM. I believe the SIAM community is well positioned to help address these changes and meet the new challenges academia, governments, industries and societies in general will face. Computing built on a firm mathematical foundation will be required to tackle these issues.
As I have done through much of my SIAM activities, I will continue to be a strong advocate for the I (Industrial) in SIAM. However, as I have learned over the years there are many opportunities for the applied mathematics community represented by SIAM to be motivated by and address industrial and societal challenges. The consequence of tackling such challenges has both immediate and long-lasting impact. Being on the SIAM Board of Trustees, I would bring my industrial mathematical experience to help influence and shape our community so all SIAM constituents are aware of the rich research and impactful opportunities from industrial and societal challenges. I will try to move SIAM in these directions by being an involved Board member. By this, I mean I will try to work closely with various SIAM and SIAG officers and appropriate committees, e.g. the Membership Committee, Committee on Science Policy, to suggest new directions for SIAM to lead. One such area would be the use of applied mathematics and statistics for the emergence of Artificial Intelligence solutions at scale for industry adoption. Having had the opportunity to work with several government representatives from different countries, as a SIAM Board of Trustee member, I would also promote the international aspect of SIAM by urging government representatives to engage local SIAM members in the various advisory committees they often create. I will proactively seek out excellent young SIAM members and encourage them to take on leadership roles both with SIAM and elsewhere to keep SIAM a growing and dynamic organization. I seek your vote and appreciate your support that I may continue to serve the SIAM community in these ways.
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Randall J. LeVeque
Professional Experience:
Emeritus Professor of Applied Mathematics, University of Washington (2018 to present)
Adjunct positions, Mathematics Department and Earth & Space Sciences Department, University of Washington (1985-present)
Professor of Mathematics, ETH-Zurich (1990-1991)
Education:
Ph.D., Computer Science, Stanford University (1982)
B.S., Mathematics, University of California, San Diego (1977)
SIAM Activities:
SIAM Board of Trustees (2014--2019)
Member, SIAM Systems Oversight Committee (2016—2019)
Member, Compensation Committee (2018—2019)
SIAM Council (2002--2007)
Council representative to the SIAM Board (2006-2007)
Chair, SIAM Journals Committee (2010-2015)
Chair, ad hoc committee on supplementary materials (2010-2012)
Member, ad hoc committee on authors' rights (2012-2013)
Survey and Review Section Editor, SIAM Review (2003-2005)
Associate Editor, SIAM Review (2005-2009)
Member, Editorial Board, SIAM Fundamentals of Algorithms book series (since 2011-present)
Member, Editorial Board, SIAM News (2016-2018)
SIAM book author
Member, DiPrima Prize Committee (1992), Dahlquist Prize Committee (Chair, 2016), James H. Wilkinson Prize for Numerical Software (2018)
Invited speaker, SIAM Annual meeting (2008)
Co-organizer, Gene Golub SIAM Summer School (2012)
Member, Organizing Committee, SIAM CSE (2013)
Professional Memberships:
Member, SIAM
Fellow, SIAM
Member, SIAG on Computation Science and Engineering
SIAG on Geoscience
Fellow, American Mathematical Society
Member, American Geophysical Union
Member, Seismological Society of America
Research Interests:
Numerical analysis, nonlinear conservation laws, finite volume methods for hyperbolic PDEs, software development, geophysical hazards, tsunami modeling, reproducible research.
Website: http://staff.washington.edu/rjl/
Candidate Statement:
SIAM plays a critical role in fostering applied mathematics worldwide, through conferences and journals and more generally by supporting the community in both research and education. It is a vibrant organization that continues to expand into new fields and geographic regions, and increase its outreach efforts to students and underserved communities. While SIAM's financial situation is strong, there are numerous challenges in balancing these efforts with financial stability and with the desire to keep costs low for membership and journals. I have been honored to serve as a member of the SIAM Board to help tackle these challenges and would welcome the opportunity to serve a third term. I am particularly interested in the future of scholarly publication and the impact of the rapidly changing landscape on SIAM journals and books. One of my current interests is in the publication of more interactive journal articles or books, which I believe is a trend in both research and education that SIAM should be helping to lead. As one effort in this direction, I am co-authoring a book to be published soon by SIAM based entirely on Jupyter notebooks, and am working with SIAM staff to facilitate this process for other authors.
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Bonita V. Saunders
Professional Experience:
Research Mathematician, Applied and Computational Mathematics Division, National Institute of Standards and Technology (NIST) (1989-present)
Programmer Analyst, BDM Corporation, McLean, VA (1985-1989)
Graduate Student Research Fellow, NASA Langley Research Center, Hampton, VA (1983-1985)
Instructor, Department of Mathematics, Hampton University, Hampton, VA (1980-1982)
Instructor, Department of Mathematics, Norfolk State University, Norfolk, VA (1979-1980)
Education:
Ph.D., Computational and Applied Mathematics, Old Dominion University (1985)
M.S., Mathematics, University of Virginia (1979)
B.A., Mathematics, College of William and Mary (1977)
SIAM Activities:
Member, SIAG on Geometric Design (SIAG/GD)
Member, SIAG on Orthogonal Polynomials and Special Functions (SIAG/OPSF)
Member, SIAG on Computational Science and Engineering (SIAG/CSE)
Secretary, SIAG/GD (2016-2018)
Webmaster/Mailing List Moderator, SIAG/OPSF (2000- present)
Selection Committee, SIAG/OPSF Gabor Szego Prize (2018)
Professional Memberships:
Member, SIAM
Member, Mathematical Association of America (MAA)
Member, American Mathematical Society (AMS)
Member, National Association of Mathematicians (NAM)
Fellow, Washington Academy of Sciences (appointed 2019)
Research Interests:
Visualization of Complex Functions Data, Numerical Software for Special Functions, Numerical Grid/Mesh Generation, Numerical Solution of Partial Differential Equations.
Website: https://math.nist.gov/~BSaunders/
Candidate Statement:
Although my education and professional experiences have produced an affinity for both pure and applied mathematics as well as the teaching of mathematics, it was SIAM that fanned the passion that has led to a decades long career in computational and applied mathematics. In graduate school I couldn’t wait to read the latest issue of SIAM News to discover new job opportunities in my chosen field. Over the years SIAM has continued to inspire budding and established career scientists through its publications of technical news and peer-reviewed journals and its support of conferences, symposiums, and workshops promoting the latest methodologies in applied and computational science.
As a member of the Board of Trustees, I will help SIAM expand and continue its legacy by supporting wise decision-making in the control and use of SIAM funds and investments. However, in order to make informed decisions it is important to understand the funding pathways down to SIAM Activity Groups, conferences or other entities being supported, not only to ensure a clear and equitable distribution of funds, but also to better understand the factors affecting the need for funds. My professional experiences and my support and work with several SIAGs puts me in an excellent position to consider these issues. I look forward to having the opportunity to support SIAM in this position.
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Council Members-at-Large
Four SIAM members will be elected to the Council this year for a three-year term. The Council consists of twelve elected members, the Officers of SIAM, and the Chair of the Board. Council members cannot serve more than two consecutive terms.
Term: January 1, 2020 through December 31, 2022
*indicates an incumbent candidate
Don Estep
Professional Experience:
Director, Canadian Statistical Sciences Institute (CANSSI) (2019-present)
Professor, Department of Statistics and Actuarial Science, Simon Fraser University (2019-present)
Chair, Department of Statistics (2017-2019)
University Distinguished Professor, Colorado State University (2017-present)
Chalmers Jubilee Professor, Chalmers University of Technology, Sweden (2013-14)
University Interdisciplinary Research Scholar, Colorado State University (2009-present)
Professor, Department of Statistics, Colorado State University (2006-present)
Co- Director, Program for Interdisciplinary Mathematics, Ecology, and Statistics (2003-2009)
Professor, Department of Mathematics, Colorado State University (2000-2014)
International Research Fellow, National Science Foundation (1993-1995)
Visiting Assistant Professor, Applied Mathematics, Caltech (1991-1993)
Assistant, Associate, Full Professor, School of Mathematics, Georgia Tech (1987-2000)
Education:
M.S, Ph.D., Applied Mathematics, University of Michigan (1987)
B.A., Columbia College, Columbia University (1981)
SIAM Activities:
Program Committee, SIAM Conference on Uncertainty Quantification, (2019-2020)
Associate Editor, SIAM/ASA Journal on Uncertainty Quantification (2018-present)
Member, SIAM Book Committee (2013-2019)
Founding Co-Editor in Chief, SIAM/ASA Journal on Uncertainty Quantification (2012-2017)
(First) Co-Chair, SIAM Conference on Uncertainty Quantification (2011-2012)
Co-Organizer and first Chair, SIAM Activity Group on Uncertainty Quantification (2010-2012)
SIAM Representative, Governing Board, Statistical and Applied Mathematical Sciences Institute (SAMSI) (2009-2014)
Organizing Committee, SIAM Annual Meeting (2009)
Editor-in-Chief, SIAM Computational Science and Engineering book series (2009 -present)
Member, SIAM Education Committee (2006-2011)
Associate Editor, SIAM Journal on Numerical Analysis (2005-present)
Professional Memberships:
Member, SIAM
Fellow, SIAM
Member, American Statistical Association
Member, Statistical Society of Canada
Research Interests:
Uncertainty quantification; stochastic inverse problems; algorithms for efficient computation; a posteriori error estimation; stochastic multiscale models; applications including materials science; detection of black holes; modeling of radiation damage in nuclear fuels; hurricane storm surge forecasting; flow in porous media; and electromagnetic scattering.
Website: https://www.stat.colostate.edu/~estep/
Candidate Statement:
My experience with a variety of SIAM activities has built a great appreciation for the importance of SIAM to applied, computational, and interdisciplinary mathematics in multiple dimensions. SIAM is finding it necessary to evolve its policies and activities in the face of changing conditions affecting research funding, publishing trends, and the role of mathematical sciences in science and engineering. As a Council member, I would be proud to help contribute to the continuing evolution of SIAM while working to preserve SIAM’s strengths. I would be particularly sensitive to SIAM’s impact at the community level. I would like to explore ways that SIAM might strengthen its support for young researchers, increase diversity, and build more cooperation with other professional societies.
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Heike Faßbender
Professional Experience:
Treasurer of ICIAM (The International Council for Industrial and Applied Mathematics) (2019 – present)
Managing Director Institute Computational Mathematics, Technische Universität Braunschweig (TUBS), Germany (2017 – present)
Board of Trustees, Bergische Universität Wuppertal, Germany (2018 – present)
President of GAMM (Gesellschaft für Angewandte Mathematik und Mechanik/International Association of Applied Mathematics and Mechanics) (2017 – present)
Vice President for Academic Affairs and Students, TUBS (2008 – 2012)
Dean Carl-Friedrich-Gauß-Fakultät, TUBS (2007 – 2008)
Deputy Director Institute Computational Mathematics, TUBS (2010 – 2017)
Managing Director Institute Computational Mathematics, TUBS (2004 – 2010)
Member and chair of numerous search, Habilitation and PhD committees, TUBS (2002-present)
Full Professor for Numerical Mathematics, TUBS (2002-present)
Full Professor for Numerical Mathematics, Technische Universität München, Germany (2000 – 2002)
Research Assistant/PostDoc/Lecturer, Universität Bremen, Germany (1994 – 2000)
Education:
Habilitation, Venia legendi Mathematik, Universität Bremen (Germany) (1999)
Dr. re.r nat. (Ph.D.), Mathematics, Universität Bremen (Germany) (1994)
Master of Science, Computer Science, State University of New York at Buffalo (1991)
Diplom (M.Sc.), Mathematics with minor in Economics, Universität Bielefeld, Germany (1989)
SIAM Activities:
Member/Chair of the AWM-SIAM Sonia Kovalevsky Lecture committee (chair 2019) (member, 2018-2019)
Associate Editor, SIAM Journal on Matrix Analysis and Applications (2017-present)
Member, Selection Committee, SIAM Activity Group on Linear Algebra Early Career Prize (2017)
Member, Scientific Committee, SIAM Conference on Applied Linear Algebra (2010)
Professional Memberships:
Member, Deutsche Mathematiker Vereinigung (DMV)
Member, Gesellschaft für angewandte Mathematik und Mechanik (GAMM)
Member, SIAM
Member, International Linear Algebra Society (ILAS)
Member, Deutscher Hochschulverbund (DHV)
Member, Braunschweigischer Hochschulbund (BHB)
Research Interests:
Numerical Linear and Multilinear Algebra, in particular (structured) linear, polynomial and nonlinear eigenvalue problems and matrix equations, Model Order Reduction.
Website: https://www.tu-braunschweig.de/icm/numerik/personal/fassbender
Candidate Statement:
As the world’s largest professional association devoted to applied mathematics, SIAM not only plays an obvious role in the research and funding landscape inside the U.S., it also has a major impact internationally through its international sections, student chapters, and co-operations with other applied mathematics organizations.
In particular as president of the Germany-based International Association of Applied Mathematics and Mechanics (GAMM), I have learned to value cooperation with SIAM on various issues ranging from joint student chapters to cooperating on conferences. I believe that these activities strengthen the applied math community worldwide and should be continued and broadened. Besides this, activities in underdeveloped countries which often do not have an applied math society should be supported, e.g., by national sections and joint workshops.
Due to my involvement in GAMM and ICIAM I would like to strengthen the I in SIAM since it seems even more relevant today than ever before to open new channels of communication between researchers and potential users of mathematical tools. With new emerging fields such as digital twins, smart materials or recent aspects of artificial intelligence, the need for more direct communication between experts from various industrial domains (including industry users and tool providers) and academia to outline and discuss mathematical challenges is strong. SIAM should try to foster this and be more attractive for private corporations.
SIAM has been very successful with its publications program defining the highest scientific standards in the editorial and reviewing processes. This needs to be secured in the future. New elements like online reviewing and/or commenting functionality or running computational experiments and reproducing the published results online may be interesting new features. Moreover, answers are needed for problems that may stem from the European Plan S or the German DEAL Project.
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Helen Moore
Professional Experience:
Director of Applied Mathematics, Applied BioMath (2019-present)
Principal Scientist, AstraZeneca (2018-2019)
Associate Director, Quantitative Clinical Pharmacology, Bristol-Myers Squibb (2014-2017)
Senior Scientific Consultant, Pharsight, A Certara Company (2010-2014)
Senior Scientist, Pharsight, A Certara Company (2009-2010)
Modeling and Simulation Scientist, Genentech (2006-2008)
Associate Director, American Institute of Mathematics (2002-2006)
Lecturer, Department of Mathematics, Stanford University (1999-2002)
Visiting Assistant Professor, Department of Mathematics, Stanford University (1998-1999)
Assistant Professor, Department of Mathematics, Bowdoin College (1995-1999)
Education:
Ph.D., Mathematics, Stony Brook University (1995)
B.S., Mathematics, University of North Carolina at Chapel Hill (1989)
SIAM Activities:
Member, Nominating Committee, SIAM Activity Group on Data Mining and Analytics (2019)
Member, Fellows Selection Committee (2018-2020)
Member, National Visiting Lecturer Program (2018-present)
Member, Council Representative to the Board of Trustees (2018-present)
Member-at-Large, Council (2017-2019)
Organizer, Hidden Figures/Diversity Events, SIAM Annual Meetings (2017, 2018, 2019)
Member, Selection Committee for the AWM-SIAM Sonia Kovalevsky Lecture (2016-2018)
Member, Industry Committee (2012-2014)
Member, Committee on Programs and Conferences (2010-2015)
Organizing Committee Co-chair, Mathematics for Industry Meeting (2009)
Organizing Committee Member, Mathematics for Industry Meeting (2007)
Professional Memberships:
Member, SIAM
Fellow, SIAM
Member, SIAG on Dynamical Systems
Member, SIAG on Control and Systems Theory
Member, SIAG on Data Mining and Analytics
Member, Society for Mathematical Biology
Member, Association for Women in Mathematics
Chair, Mathematical and Computational Sciences SIG, International Society of Pharmacometrics
Member, American Mathematical Society
Member, Association for Women in Science
Research Interests:
Systems differential equation modeling, control theory, constrained optimization, model evaluation, nonlinear mixed effects modeling, oncology.
Candidate Statement:
I spent 11 years in academia before spending the past 13 in industry. I am committed to helping foster connections between academia and industry. This not only benefits Ph.D. students interested in working in industry, it also helps companies recruit talented researchers and increases awareness of academic research areas that can be useful for solving industry problems. Faculty can benefit by learning about problems of genuine interest to industry, finding new collaborations, and learning how to better inform students who wish to go into industry. The majority of attendees at conferences such as the SIAM Conference on the Life Sciences are in academia. Conferences hosted by the International Society of Pharmacometrics (ISoP), which focuses on the quantitative methods used in drug development, have a majority of industry participants. With more mathematicians moving into math modeling groups in the biopharma industry, some of us attend both SIAM and ISoP conferences. Lack of awareness of work done in a different research community remains a challenge that we need to address with increased communication. As we continue to build case studies of impactful mathematical modeling applications, demand for mathematicians in industry increases. Sharing open problems, new ideas, and diverse perspectives and expertise will be important for advances in both industry and academia.
Additional challenges for SIAM continue to arise, and we need to proactively address these. These include decisions that need to be made about ethics issues, open access journal policies, declining journal subscriptions, and emerging platforms for communicating research results. We need to develop ways to offset declines in revenue in order for SIAM activities to be sustainable. Some areas that have been supported recently include new journals and conferences that are being initiated, and established ones that are evolving as new volunteers put their time, energy, and ideas into them. If we focus our attention on these issues now, the longer-term ability of SIAM to serve its members and the broader community will be preserved.
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Peter J. Mucha
Professional Experience:
Professor of Mathematics and Applied Physical Sciences, University of North Carolina (UNC) – Chapel Hill (2017-present)
Bowman and Gordon Gray Distinguished Term Professor, UNC – Chapel Hill (2012-2017)
Assistant Professor, Associate Professor, Professor, UNC – Chapel Hill (2005-2012)
Assistant Professor, Georgia Institute of Technology (2001-2005)
Applied Mathematics Instructor, Massachusetts Institute of Technology (1998-2001)
Previously-held administrative positions at UNC include Chair of the Department of Mathematics, Founding Chair of the new Department of Applied Physical Sciences, Chancellor’s Advisory Committee Chair, and Natural Sciences Faculty Advisor to the Office of Research Development. I currently serve as the Director of the Chairs Leadership Program at UNC.
Education:
Ph.D., Applied and Computational Mathematics, Princeton University
M.A., Applied and Computational Mathematics, Princeton University
M.Phil., Physics, University of Cambridge
B.S., Engineering Physics, Cornell University
SIAM Activities:
SIAM Committee on Science Policy (2018-present)
Associate Editor, SIAM Journal on Applied Mathematics (2017-present)
Co-organizer, SIAM Workshop on Network Science (2019)
Professional Memberships:
Member, SIAM
Member, American Mathematical Society
Member, American Physical Society
Research Interests:
Developing and applying methods to analyze networks and network representations of data.
Website: http://mucha.web.unc.edu/
Candidate Statement:
I feel very honored to be nominated as a candidate for the SIAM Council. My very first professional conference was a SIAM Annual Meeting, and in the years since I have benefited from SIAM’s activities and community. The interdisciplinarity and deliberate emphasis on industry give SIAM a uniquely broad mission and perspective, specially positioning the society to play a vital role across societal challenges from advocacy for science and its funding to diversity and workforce development in the age of big data. My own focused activities have included helping junior faculty seek research support in an increasingly difficult funding landscape, promoting greater diversity and inclusion in the sciences, and mentoring undergraduate and graduate students toward a variety of career goals. If elected, I will seek to use this experience to help SIAM continue to address these and similar issues.
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Naoki Saito
Professional Experience:
Chair, Graduate Group in Applied Mathematics (GGAM), University of California, Davis (2007-2012)
Professor, Department of Mathematics, University of California, Davis (2001-present)
Affiliated Faculty Member, The Data Science Initiative, University of California, Davis (2016-present)
Affiliated Faculty Member, Graduate Program in Electrical & Computer Engineering, University of California, Davis (2014-present)
Affiliated Faculty Member, Graduate Program in Statistics, University of California, Davis (1997-present)
Associate Professor, Department of Mathematics, University of California, Davis (1997-2001)
Research Scientist, Schlumberger-Doll Research (1994-1997)
Associate Research Scientist, Schlumberger-Doll Research (1986-1994)
Software Development Engineer, Nippon Schlumberger K.K., Fuchinobe, Japan (1984-1986)
Education:
Ph.D., Department of Mathematics, Yale University (1994)
M.Eng., Department of Mathematical Engineering and Information Physics, University of Tokyo (1984)
B.Eng., Department of Mathematical Engineering and Information Physics, University of Tokyo (1982)
SIAM Activities:
Member, SIAM Activity Group on Imaging Science Nominating Committee (2019)
Chair, SIAM Activity Group on Imaging Science Nominating Committee (2015)
Chair, SIAM Activity Group on Imaging Science (2014-2015)
Chair, SIAM Activity Group on Imaging Science Prize Selection Committee (2013)
Vice Chair, SIAM Activity Group on Imaging Science (2012-2013)
Organizer, minisymposium on "Laplacian Spectra for Shape Optimization, Classification, Recognition, and Beyond," SIAM Annual Meeting, San Diego, CA (2013)
Organizer, minisymposium on "Laplacian Eigenfunctions and Applications in Image Science," SIAM Conference on Imaging Science (2008)
Professional Memberships:
Senior Member, IEEE
Member, Institute of Mathematical Statistics
Member, JSIAM (Japan SIAM)
Member, SIAM
Research Interests:
Applied and computational harmonic analysis; statistical signal/image processing and analysis; feature extraction, pattern recognition, classification, and regression; data compression; elliptic partial differential equations (PDEs), eigenvalue problems, boundary value problems, potential theory; geophysical inverse problems; human and machine perception (auditory and visual systems); computational neuroscience; data sonification.
Website: https://www.math.ucdavis.edu/~saito
Candidate Statement:
SIAM is currently in a unique position among many scientific societies because it is the one place where data science and machine learning truly meet mathematical analysis, numerical analysis, and scientific computing – none of the other societies provide such an opportunity. I strongly believe in the importance of mathematics in this modern technological society, since without mathematics, one can only go so far. It is critical that we highlight the importance of mathematical and physical modeling, even in the context of data science and machine learning. With that said, we also need to remind ourselves to show humility: collaborating with and learning from domain scientists and engineers is absolutely essential. For example, when I attend data science conferences organized by other societies, sometimes I see participants that have reinvented the wheel by presenting ideas that have been known in our community for a long time. At other times, I observe mathematically-unsound ideas that have become quite popular (at least temporarily) in those communities. As applied mathematicians, we should point out these issues and explain why some of these methods are unsound or incorrect. This is our duty.
On the other hand, more often than not, domain scientists and engineers have excellent ideas that we can adopt to make significant and sometimes unexpected progress in our own fields (a famous example is the discovery of "wavelets" in the 1980s). In order to do so, however, we must communicate and collaborate with those other societies. In particular, in the area of data science and machine learning, the Association for Computing Machinery, IEEE, IMS, as well as SIAM, are all organizing data science conferences and workshops separately, with the exception of the very recent ACM-IMS Interdisciplinary Summit on the Foundations of Data Science, which was a joint venture between the two societies. We should do the same. If I were elected as a SIAM Council member, I would like to reach out to these other societies for possible partnerships such as joint conferences, workshops, or at least joint special sessions within the existing conference series (e.g., SIAM Conference on Mathematics of Data Science, SIAM Annual Meeting, and/or Joint Mathematics Meetings).
Another idea I would like to promote as a member of the SIAM Council is to encourage all of the SIAM Activity Groups to establish their own Early Career Prizes. Currently, 14 out of 22 SIAGs have already established such prizes, but not all. Establishing such prizes for all SIAGs would certainly encourage young applied mathematicians to strive for excellence. I myself did exactly this for SIAG/Imaging Science when I was its chair in 2014. For the future of SIAM, nothing is more important than attracting, encouraging, and nurturing excellent young applied mathematicians, in my opinion.
Furthermore, I have extensive industry experience and have acquired administrative and organizational skills through my chairmanship of: 1) the applied mathematics graduate program at UC Davis for five years and 2) the SIAM Activity Group in Imaging Science in 2013-14. I have also been an editorial board member of the top international journals closely related to the interests of SIAM members (Applied and Computational Harmonic Analysis, Inverse Problems and Imaging, and Journal of Mathematical Imaging and Vision). Finally, I have organized both long- and short-term research programs at Institute for Pure and Applied Mathematics /UCLA and Banff International Research Station, and numerous minisymposia at SIAM, International Council for Industrial and Applied Mathematics, JMM, American Mathematical Society, and IEEE conferences. I believe that all of these key experiences qualify me to serve as a member of the SIAM Council and will enable me to guide the society to an even brighter future.
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Valeria Simoncini
Professional Experience:
Professor of Numerical Analysis, Universita' di Bologna (2000-present)
Researcher at CNR, Italy (1994-2000)
Education:
Ph.D., Computational Mathematics (1994)
SIAM Activities:
Member, Editorial board, SIAM Journal on Matrix Analysis and Applications (2005-present)
Member, Editorial board, SIAM Journal on Numerical Analysis (2012-present)
Chair, SIAG Activity Group on Linear Algebra (2019-2020)
Member, Advisory Committee for the SIAM International Summer School on Numerical Linear Algebra (2010-present)
Member, Scientific Committee, SIAM Conference on Computational Science and Engineering (2011, 2013)
Member, Scientific Committee, SIAM Conference on Applied Linear Algebra (2009)
Co-organizer, Gene Golub SIAM Summer School (2010)
SIAM Fellows Selection Committee (evaluation of classes 2017-2018)
SIAM Nominating Committee (2009-2010)
SIAM Activity Group on Linear Algebra liaison to SIAM Book program (2007-2012)
Professional Memberships:
Member, SIAM
Member, American Mathematical Society
Member, International Linear Algebra Society
SIMAI (Italian Society For Applied Mathematics)
UMI (Italian Math Union)
German Society of Applied Mathematics and Mechanics (GAMM) Activity Group Applied and Numerical Linear Algebra
GAMM Activity Group Computational and Math Methods in Data Science
Research Interests:
Matrix Computations in large scale science and engineering.
Website: http://www.dm.unibo.it/~simoncin/welcome.html
Candidate Statement:
This is a truly fascinating moment for our community, full of new challenges involving computer science, statistics, and engineering competencies, in which SIAM wants to testify and strengthen the role of applied mathematics. Therefore, I believe SIAM should continue to foster the visibility of the applied mathematics community through publications, conferences, and social media with researchers in well-established disciplines, and also strongly pursue the recent activities in innovative application areas such as data science, where new mathematics is being created at incredible speed.
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Defeng Sun
Professional Experience:
Chair Professor of Applied Optimization and Operations Research, Department of Applied Mathematics, The Hong Kong Polytechnic University, Hong Kong, China (2017-present)
Head of the Department, Department of Applied Mathematics, The Hong Kong Polytechnic University, Hong Kong, China (since July 2019)
Professor, Department of Mathematics, National University of Singapore, Singapore
(2009-2018)
Associate Professor with tenure, Department of Mathematics, National University of Singapore, Singapore (2006-2009)
Assistant Professor, Department of Mathematics, National University of Singapore, Singapore (2000-2005)
Deputy Director (Research), Risk Management Institute, National University of Singapore, Singapore (2009-2014)
Visiting Fellow/Postdoctoral Research Associate/Australian Postdoctoral Fellow, School of Mathematics, The University of New South Wales, Australia (1995-2000)
Education:
Ph.D., Operations Research, Chinese Academy of Sciences, P.R. China (1995)
M.S., Optimization, Nanjing University, P.R. China (1992)
B.S., Computational Mathematics, Nanjing University, P.R. China (1989)
SIAM Activities:
Conference Program Co-Chair, SIAM Conference on Optimization (2020)
Associate Editor, SIAM Journal on Optimization (2012 -present)
Plenary speaker, SIAM Conference on Optimization (2011)
Minisymposium speaker/organizer at various SIAM meetings
Referee for SIAM Journal on Optimization and other SIAM Journals
Professional Memberships:
Member, SIAM
Member, Mathematical Optimization Society
Member, INFORMS
Member, Singapore Mathematical Society (life member)
Member, Singapore Operational Research Society (life member)
Member, Hong Kong Mathematical Society
Research Interests:
Big Data Optimization; Matrix Optimization (MatOpt): Theory, Algorithms, Software and Applications; Variational Analysis. Nonsmooth Matrix Analysis and Computations; Computational Statistics: Graphical Models; Distance Weighted Discrimination; High-Dimensional Statistical Optimization/Learning; Financial Mathematics; Financial Optimization; Risk Management.
Website: https://www.polyu.edu.hk/ama/profile/dfsun
Candidate Statement:
As a long-term SIAM member and a strong supporter for SIAM activities, I would like to see that SIAM becomes a more inclusive society that has more members from industry and has substantially more representatives from developing countries at various levels of SIAM activities, in particular, in the program committees of SIAM conferences. SIAM needs to demonstrate that it can help solve many real-world challenging problems. While SIAM maintains mathematical rigor of high quality publications in SIAM journals, more focus should be given to coding/software development.
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Suzanne L. Weekes
Professional Experience:
Associate Dean of Undergraduate Studies, ad interim, Worcester Polytechnic Institute (WPI) (Present)
Professor, Department of Mathematical Sciences, WPI (Present)
Associate Head, Department of Mathematical Sciences, WPI (2006 – 2012)
Director, WPI Center for Industrial Mathematics and Statistics (2006 – 2014)
Visiting Assistant Professor, Department of Mathematics and Institute for Scientific Computing, Texas A&M University (1995-1998)
Education:
Ph.D., Mathematics and Scientific Computing, University of Michigan (1995)
M. S., Applied Mathematics, University of Michigan (1990)
B. S., Mathematics, Indiana University (1989)
SIAM Activities:
Member, SIAM Committee on Science Policy (2019 – present)
Relaunched the SIAM Visiting Lecturer Program (2018)
Chair, SIAM Education Committee (2016 – 2018)
Steering Committee, BIG Math Network– sponsored by SIAM, American Mathematical Society (AMS), American Statistical Association (ASA), Mathematical Association of America (MAA), Institute for Operations Research and the Management Sciences
Member, ADVANCE SIAM Strategic Planning Team (2018)
Member, SIAM Education Committee (2014 – 2018)
Member, SIAM Career Opportunities Committee (2016 – 2018)
SIAM Representative, Business, Industry, Government Committee of the MAA (2015 – 2018)
Plenary speaker, 1st SIAM Conference on Applied Mathematics Education (2016)
Committee Member, Mathematics Awareness Month - Joint Policy Board for Mathematics (JPBM) - AMS, ASA, MAA, and SIAM (2015)
Co-director, PIC Math (Preparation for Industrial Careers in Mathematical Sciences) Program which launched as a program of SIAM and the MAA and is funded by the NSF
Theme Leader, Job Placement Theme, Investing in the Next Generation through Innovative and Outstanding Strategies (INGenIOuS) Project, MAA, SIAM, ASA, AMS, NSF (2013)
SIAM Representative, Award Committee, Association of Women in Mathematics (AWM)-SIAM, Sonia Kovalevsky Lecture (2009)
Organizing Committee, SIAM Conference on Mathematics for Industry: Challenges and Frontiers (2007)
Faculty Founder, WPI SIAM Student Chapter of SIAM (2003)
Chapter Advisor, WPI SIAM Student Chapter (2003 – present)
Organizer of several minisymposia, panels, and sessions at SIAM Annual meetings
Professional Memberships:
Member, American Mathematical Society (AMS)
Member, Association for Women in Mathematics (AWM)
Member, Mathematical Association of America (MAA)
Member, National Association of Mathematicians (NAM)
Member, SIAM
Research Interests:
Dynamic Materials, Industrial Mathematics, Numerical Methods, Mathematical Modeling, Computational Fluid Dynamics.
Websites: https://www.wpi.edu/people/faculty/sweekes
http://www.wpi.edu/~sweekes
Candidate Statement:
I would like to continue the focus as stated by past SIAM president, Irene Fonseca, on the “I” in SIAM. SIAM should be one of the first places that business, government, and industry look to when they want to recruit students to join their workforce, when they want to engage in collaborations with universities, and when they want to access cutting edge research in applied mathematics and computational sciences. SIAM should be one of the first places that academics look to make the connection to industry.
SIAM should continue to be forward looking by keeping its pulse on the changing modes and paradigms of 21st century information sharing. SIAM publications, journals, videos, etc. should continue to reflect the best of modern science and technology communication.
SIAM should continue to work on communicating with the public and policy makers about what applied mathematics and computational science are about and the impact and importance of these fields in our society.
I would like to see the SIAM community strengthen its efforts towards broadening SIAM’s membership and we must work effectively towards a more inclusive, welcoming, and diverse professional society.
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