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Vote in the 2018 SIAM Elections!

The polls open September 11 for the 2018 SIAM election for Board of Trustees and Council! Take a few minutes to read the candidate profiles and statements belowDeadline for voting is November 13, 2018.

Voting instructions and credentials will be emailed to SIAM members on September 11, 2018, from Intelliscan. 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 e-mail addresses: election@intelliscaninc.net and election@siam.org. The first is used to send e-mail 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

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, not more than two appointed Trustees, and the President and Treasurer. Three (3) trustees shall be elected annually for three-year terms. No trustee shall serve more than three consecutive terms.

Term: January 1, 2019 through December 31, 2021

*indicates an incumbent candidate

Kathryn E. Brenan

Professional Experience: 
Senior Engineering Specialist, Engineering & Technology Group, The Aerospace Corporation. Member of the Technical Staff (1978)
Engineering Specialist and Senior Project Engineer, The Aerospace Corporation; Adjunct Lecturer in Dept of Mathematics, UCLA (7/85 – 12/86)

Education: 
Ph.D. in Applied Mathematics/Numerical Analysis, UCLA; M.S. Applied Mathematics, Purdue University; B.S. Mathematics, Bucknell University.

SIAM Activities: 
SIAM Board of Trustees (2018, 2012-2014)
Recruiting for Aerospace at SIAM Career Fairs (2015-2018)
Industry Minisymposium Organizer for 2013 SIAM Annual Meeting
SIAM Council (2 terms: 1996 – 2001)
SIAM Committee on Industry (2012-2014)
SIAM representative to Joint Committee on Women in the Mathematical Sciences (2007-2009)
SIAM Diversity Committee (2007-2009)
SIAM book & journal author
Industry Panel member for 2010 SIAM Conference on Nonlinear Waves and Coherent Structures
Co-organizer, Optimization and Differential-Algebraic Equations Minisymposiums, 1996 SIAM Conference in Optimization
Organizer, Mini-symposium on Trajectory Optimization, 1992 SIAM Annual Meeting
Referee for SIAM journals
Invited minisymposium talks & contributed sessions for SIAM meetings
Profile on Joint AMS-SIAM Project Nonacademic Career Opportunities in Mathematics 
Mentoring activities include co-organizing an annual program at Aerospace for the George Washington Summer Program for Women in Mathematics and speaking at graduate student seminars or SIAM student chapters
SIAM Member: 1982 – present

Professional Memberships: 
SIAM, SIAG on Imaging Science.

Research Interests: 
Development of numerical algorithms for solving problems arising in industry; signal & image processing; differential-algebraic equations, trajectory optimal control; optimization; numerical linear algebra; numerical integration; Monte Carlo simulation; statistics & data analysis; Favorite matrix: Block Toeplitz, Toeplitz Blocks.

Candidate Statement:
My career as an industrial mathematician has been shaped by my work at The Aerospace Corporation, which operates a nonprofit Federally Funded Research and Development Center for the U.S. government. I have strived to solve real-world problems of interest to my customers in the defense and national security arenas through the development and application of numerical algorithms. By staying involved with SIAM in a variety of ways over the years, I have been able to foster new connections as well as maintain old connections with other applied mathematicians & computational scientists in academia, industry, and the national labs.  At Aerospace, I have worked to form a community of SIAM advocates by promoting the benefits of SIAM Corporate membership, distributing SIAM News, and encouraging the hiring of applied mathematicians and computational scientists. 

My passion for SIAM, its members and its activities, was born during my graduate school days when I first delved into the study of differential-algebraic equations. I was charmed by the inclusiveness of SIAM members, namely SIAM’s diversity that enveloped students, professors, researchers, and industry practitioners all together. As the facets of diversity (e.g., gender, nationality, race, ethnicity, age, industry/academia) of SIAM members has evolved tremendously over the years, it is critical that we work to improve diversity in SIAM leadership (Board, Council, Committees) and conferences (speakers, organizers, students). 

SIAM already supports many programs such as the Visiting Lecturer Program (VLP), Career Fairs, and Student Chapters which could be utilized to build new connections between industry and academia. Student Chapters should be encouraged to invite speakers from the VLP at least once a year. SIAM can also help by identifying individuals (advocates) at SIAM Corporate Institutions to help build these relationships as well. For example, SIAM Corporate Institutions should be a source of new speakers for the VLP, and should be encouraged to invite speakers from the VLP to their company. 

I would like to continue to serve SIAM members by working as a member of the SIAM Board of Trustees and associated committees. If re-elected, I promise to work to insure that financial & operational decisions are guided by SIAM’s mission in applied mathematics and computational science: “to advance research and applications, to foster communication among mathematicians, engineers, and scientists, to build this community, and to support the next generation.” 

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Andreas Frommer

Professional experience:
Department of Mathematics, Bergische Universitaet Wuppertal, Germany.
Full professor,  Department of Mathematics, University of Wuppertal, Germany (1992 – present);
Assistant proefessor, Department of Mathematics, University of Karlsruhe, Germany (1986 – 1992);
Research and teaching assistant,  Department of Mathematics, University of Karlsruhe, Germany (1985 – 1986).

Education:
Study of Mathematics and Physics at University of Karlsruhe, Germany and University Paul Sabatier, Toulouse, France (1979-1985); Ph.D. in Mathematics, University of Karlsruhe, Germany (1986);
Habilitation in Mathematics, University of Karlsruhe, Germany (1990).

SIAM Activities:
Associate Editor, (SIAM Journal on Matrix Analysis 2007 – present);
Program Director, SIAM Activity Group on Applied Linear Algebra (2007-2009);
Vice Chair, SIAM Activity Group on Applied Linear Algebra (2009-2012);
Co-chair and co-organizer, SIAM Conference on Applied Linear Algebra, Düsseldorf (2006);
Member, SIAM Committee on Committees and Appointments (2015-2017).

Professional Memberships:
SIAM, SIAG on Applied Linear Algebra, AMS, GAMM, DMV. 

Research Interests:
Applied linear algebra, matrix functions, preconditioning, computational physics, high performance computing.

Website: https://www.ai.uni-wuppertal.de/en/applied-computer-science-group/people/prof-dr-andreas-frommer.html

Candidate Statement:
SIAM is the most important professional society for applied mathematics at the international level. It has the highest standards for its journals and its conferences – a fact that has become increasingly and  invaluably important as an orientation, particularly for young scientists, given the dramatic growth of  commercial low quality journals and pseudo-scientific meetings. 

If elected as member of the Board of Trustees I would happily contribute to the international positioning of SIAM. The main task would be to work towards maintaining SIAM in good financial health and thus lay the foundations for SIAM to continue to satisfy its extremely important role of maintaining the highest scientific standards in our field and providing the networking opportunities we all rely on.    

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Linda Petzold

Professional Experience: 
Professor, Departments of Mechanical Engineering and Computer Science (Chair 2003-2007)
Director, Computational Science and Engineering Graduate Emphasis, University of California Santa Barbara (1997-present)
Professor, Department of Computer Science, University of Minnesota (1991-1997)
Group Leader, Numerical Mathematics Group, Lawrence Livermore National Laboratory (1985-1991)
Member of Technical Staff, Applied Mathematics Division, Sandia National Laboratories Livermore (1978-1985)

Education: 
Ph.D. in Computer Science, University of Illinois (UIUC), 1978; BA, Mathematics/Computer Science, University of Illinois (UIUC), 1974.

SIAM Activities: 
Board of Trustees (2016-2019)
Committee on Science Policy (2000-present)
VP at Large (2000-2001)
VP for Publications (1993-1998)
Journals Committee (2006-2012)
Editor in Chief, SIAM Journal on Scientific Computing (1990-1994)
Editorial Board, SIAM Journal on Scientific Computing (1983-1989, 1995-2004)
Editorial Board, Multiscale Modeling and Simulation (2001-2007)
Organizing Committee, SIAM Conference on Computational Science and Engineering  (2015, 2003 (Co-Chair), 2001 (Co-Chair))
Organizing Committee, SIAM Annual Meeting, (2001, 2004)
Chair, Computational Science and Engineering Education Working Group (1998-2001)
Education Committee (1998-2007)
SIAM Rep. to AAAS Mathematics Section (2011-2013)
Prize Selection Committees: Kovalevsky Prize (2005 (Chair), 2004), Dahlquist Prize (2003 (Chair))
SIAM/ACM Prize in Computation Science and Engineering (2003)

Professional Memberships: 
National Academy of Engineering (Member), SIAM (Fellow), AAAS (Fellow), ACM (Fellow), ASME (Fellow), AWM (Member).

Research Interests:  
Modeling, algorithms, simulation and software, applied to multiscale networked systems in biology, medicine, and materials.

Website: https://cse.cs.ucsb.edu

Candidate Statement: 
This is a time of amazing opportunity for the mathematical and computational sciences. The availability of data in all areas of science, engineering and medicine is both unprecedented and growing extremely rapidly. The need for tools to analyze the data, models to facilitate understanding and prediction of the underlying processes, and algorithms and software to enable modeling, data analysis, and data manipulation, has never been greater. At the same time, there are some enormous challenges for science and for scientific societies, including SIAM. As a society, we need to become more effective in identifying new results with potential for impact to society, and find effective ways to communicate them to the general public. And, we need to strive for inclusiveness in SIAM’s leadership and in all of its activities. I am running for SIAM Board because I believe these are critical challenges that will require fundamental change. I would like to try to help facilitate thoughtful discussion and actions on issues that will affect all SIAM members.

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Alison Ramage

Professional Experience: 
Reader, Department of Mathematics, University of Strathclyde, Glasgow, Scotland (2006-present)
Senior Lecturer, Department of Mathematics, University of Strathclyde, Glasgow, Scotland (2003-06)
Lecturer, Department of Mathematics, University of Strathclyde, Glasgow, Scotland (1993-2003)
Visiting Researcher, Department of Computer Science, University of Maryland (1999-2000)
Department of Information Technology, University of Uppsala, Sweden (1998-present)

Education: 
Ph.D. in Numerical Analysis, University of Bristol, England (1991); B.Sc. in Mathematics, University of St. Andrews, Scotland (1987).

SIAM Activities: 
Vice-Chair SIAM Activity Group on Linear Algebra (2016-present)
Associate Editor, Research Spotlights, SIAM Review (2015-present)
Associate Editor, SIAM Journal on Matrix Analysis and Applications (2018-present)
Member, SIAM Committee on Gene Golub SIAM Summer School (2015-present)
Member, SIAM Committee on Programs and Conferences (2016-present)
Member, Program Committee for the 2015 SIAM Conference on Applied Linear Algebra (2013-2015)
Faculty Advisor, University of Strathclyde SIAM Student Chapter (2011-2016)
Member, SIAM Council (2006-2009)
Secretary/Treasurer of UK and Republic of Ireland Section of SIAM (2002-04)
Organizer of two UKIE/SIAM Annual Meetings (2004; 2003)

Professional Memberships: 
SIAM; Edinburgh Mathematical Society; European Women in Mathematics; Fellow of the Institute of Mathematics and its Applications.

Research Interests: 
Numerical Analysis; Numerical linear algebra with a focus on iterative solution methods and preconditioning, most recently for applications in computational fluid dynamics, geotechnical engineering, financial mathematics, liquid crystal modelling and data assimilation.

Website: http://personal.strath.ac.uk/a.ramage/

Candidate Statement: 
SIAM's outstanding publications, excellent conferences and inclusive policies have made it a leading international professional organization in applied mathematics. Moving forward, it is important that the SIAM Board is strategic in thinking about future opportunities for, but also threats to, these and other key SIAM services. I would also like to see the continuation and expansion of the help and encouragement offered by SIAM to students, younger career mathematicians and minority groups. SIAM provides a unique forum for facilitating interaction between new and established researchers in academia and industry and those opportunities should be exploited as fully as possible. I think that it is important that bodies such as the Board reflect the fact that an increasingly large proportion of SIAM members live outside the U.S., and I believe that SIAM should continue to strengthen its international links with continued initiatives such as holding joint conferences outside North America and extending the possibility of reciprocal membership with other mathematics societies worldwide.  

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Jesús María (‘Chus’) Sanz-Serna

Professional Experience:
Chair of Excellence, Universidad Carlos III de Madrid (2014-present)
Academy of Sciences of Spain (2007-present), President since 2018
President Universidad de Valladolid, Spain (1998-2006)
Professor, Universidad de Valladolid 1982-2014
Associate Professor, Universidad del País Vasco, Bilbao, Spain (1981-1982)

Education:
M.Sc. Numerical Analysis, University of Dundee, Scotland, UK (1978-1979)
Ph.D. Functional Analysis, Universidad de Valladolid (1975-1977)
Licenciado en Matemáticas, Universidad de Valladolid (1970-1975)                                                             

SIAM Activities:
Section Editor, Survey and Review, SIAM Review, 2016-present
SIAM Fellows Selection Committee (2013-2015)
Associate Editor, SIAM Review (2012-2016)
Germund Dahlquist Prize Selection Committee (2011)

Professional Memberships:
SIAM Fellow, Inaugural Class; American Mathematical Society Fellow, Inaugural Class; Institute of Mathematics and its Applications Fellow (UK); Sociedad Matemática Española (Vice President 1997-2001); Sociedad Española de Matemática Aplicada (Vice President 1994-1995).

Research Interests:
Numerical solution of time-dependent differential equations, geometric integration, Markov chain Monte Carlo

Website: http://sanzserna.org/cv.php

Candidate Statement:
SIAM has members in widely different institutions all over the world; for many of those members, SIAM is the main link to recent advances in applied mathematics, with SIAM News and SIAM Review and SIAM conferences being key in disseminating new application areas, problems and techniques, and new approaches in education.

Due to my roles as a researcher, supervisor, teacher and university president and from my service on SIAM journal boards and committees, I am aware of the huge positive effect that SIAM exerts in the world of applied and industrial mathematics. If elected, I will strengthen the role of SIAM as a worldwide unifying society that encompasses academia, industry and research laboratories, all branches of applied mathematics, and all members of the community.

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Wil Schilders

Professional Experience:
Scientific Assistant, Radboud University Nijmegen, The Netherlands (1977-1978)
Lecturer, Maynooth University, Maynooth, Ireland (1979-1980)
Researcher at Mathematical Software Group, Philips CFT, Eindhoven, The Netherlands (1980-1990)
Senior Researcher, Applied Mathematics Group, Philips Research, Eindhoven, The Netherlands (1991-1996)
Principal Senior Researcher, IC Design, Philips Research, Eindhoven, The Netherlands (1996-2006)
Head of Mathematics group, NXP Semiconductors, Eindhoven, The Netherlands (2006-2010)
Professor of “Scientific computing for industry,” Eindhoven University of Technology, Eindhoven, The Netherlands (1999-present)
Director of Project Development Office, Eindhoven University of Technology, The Netherlands (2013-2018)
Executive Director of Dutch Platform for Mathematics (PWN), Amsterdam, The Netherlands (2010-present)
President of European Consortium for Mathematics in Industry (ECMI) (2010-2011)
Chair of ECMI Research and Innovation committee (2013-present)
Chair of European network on Model Order Reduction (2014-2018)
President of European Service Network of Mathematics for Industry and Innovation (EU-MATHS-IN) (2015-present)
Member of advisory board of Matheon (Berlin), IMI (Fukuoka, Japan - Institute of Mathematics for Industry), CeMEAI  (Sao Carlos, Brasil - Centro de Ciências Matemáticas Aplicadas à Indústria)

Education:
B.Sc. in Mathematics, Physics and Astronomy, Radboud University Nijjmegen (1974-1976)
M.Sc. in Mathematics, Radboud University Nijmegen, The Netherlands (1976-1978)
Ph.D. in Numerical Mathematics, Trinity College Dublin, Ireland (1978-1980)

SIAM Activities:
Participation in SIAM conferences (mainly Computational Science and Engineering and Annual), and organisation of minisymposia, panellist
Member of SIAGs Linear Algebra and Computational Science and Engineering
2-day meeting with SIAM Board after launch of EU-MATHS-IN (November 2013)
Co-chair 2017 SIAM Conference on Computational Science and Engineering

Professional Memberships:
SIAM, International Council for Industrial and Applied Mathematics, GAMM (Germany), European Mathematical Society, ECMI, EU-MATHS-IN, KWG (Netherlands), Asia Pacific Consortium of Mathematics for Industry (APCMfI).

Research Interests:
Mathematical modelling, simulation and optimisation (MSO) for industry, numerical linear algebra (especially for indefinite systems), singular perturbations. Current main field: model order reduction (structure preservation, coupled problems, DAEs, various applications). Main applications: semiconductor device and electronic circuit simulation, energy-related topics. 

Website: http://www.win.tue.nl/~wschilde/

Candidate Statement:
These are exciting times for SIAM. On the one hand, the future development of industry and society exhibits strongly increasing complexity and at the same time ever-shorter innovation cycles. On the other hand, digitisation and the internet of things have led to an explosion of data and information. Without novel mathematics-based computational tools and paradigms we will not be able to manage these challenges. SIAM’s journals and conferences can play a vital role in this, but new incentives are needed to optimally benefit. Increased involvement in industrial and societal challenges is required, and is crucial for sustaining, and even improving, the financial health of SIAM. Another important trend is that many of our students are taking up jobs in industry, much more than before, which has addititional implications for the (educational) activities of SIAM. A previous president of SIAM has already indicated that the “I” in SIAM is too small, and I see it as an important task to improve on this substantially: more industry involvement in all of SIAM’s activities, increased industrial sponsorship of conferences, preparing our students better for their future careers, developing new ways of working with industry. Having worked in industry for more than three decades, I have clear views and ideas on how to achieve this, and I will be happy to share these when serving on the Board.

Another important aspect is SIAM’s role on a worldwide scale. Besides SIAM, there are many organisations for industrial and applied mathematics. It is vital for our discipline to improve the coordination of activities, and to ensure that it receives the recognition it deserves. SIAM, being a large and financially sound organisation, can play a key role in this process, by initiating and developing new ways of cooperation: together we are strong! Having been involved actively in several organisations (ECMI, EU-MATHS-IN, APCMfI, ICIAM) for many years, I will bring this experience to the Board and suggest ways to improve the situation for industrial and applied mathematics on a global scale, bringing mathematics forward as a key enabling technology.

It would be an honor for me to have the opportunity of serving on the Board of Trustees, and share my experience in industry as well as my experience in industrial/applied mathematics societies. 

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Council Members-at-Large

The Council consists of twelve elected members, the Officers of SIAM, and the Chair of the Board. Terms of office for members of the Council shall be three years, with four members’ terms expiring each year. No person shall serve more than two consecutive terms as a Member of the Council.

Term: January 1, 2019 through December 31, 2021 

*indicates an incumbent candidate

Natalia Alexandrov

Professional Experience:
Senior Research Scientist, NASA Langley Research Center (2002 – present)
Principal Investigator, Autonomy, Teaming, and Trajectories for Complex Trusted Operational Reliability (ATTRACTOR), NASA (2017 – present)
Lead, Emerging Applications and Technologies for the Aeronautic Systems Analysis Branch, NASA Langley Research Center (2017 – present)
Lead, Airspace-Vehicle Integrated Autonomy (AVIA), NASA (2014-2017)
Lead, Systems Biology Design, Radiation Element of Human Research Program (HRP), NASA (2013-2014)
Project Scientist, Systems Analysis, Integration, and Evaluation Project (SAIE) of Airspace Systems Program (ASP), NASA (2011 – 2014)
Various research lead positions (e.g., LaRC lead for Efficient Reconfigurable Cockpit Design and Fleet Operations Using Software Intensive, Networked, and Wireless Enabled Architecture (ECON); optimization lead for Composite Crew Module Pressure Vessel (CCMPV), NASA, (1995 – 2016))

Education:
Ph.D, Computational and Applied Mathematics, Rice University
M.A., Mathematical Sciences, Rice University
B.A., Mathematics, Rice University                                                           

SIAM Activities:
SIAM Membership Committee (two terms, 2008-2013)
Selection Committee, SIAM Activity Group on Supercomputing Prizes (2011)
Organizing Committee member, SIAM Conference on Optimization (2005)
Secretary, SIAM Activity Group on Optimization (2000-2003)
Organized minisymposia at SIAM Conferences on Optimization
Served as a reviewer for SIAM Book Series

Professional Memberships:
SIAM; American Institute of Aeronautics and Astronautics (AIAA, Associate Fellow); International Society for Structural and Multidisciplinary Optimization (ISSMO).

Research Interests:
Methods for modeling, design optimization, and control of cyber-physical-human systems, including mechanical artifacts and heterogeneous adaptive systems, such as future transportation systems; concepts of trust and trustworthiness in systems governed by autonomous computational intelligence and human-machine teams with a high degree of machine autonomy.

Website: https://www.linkedin.com/in/natalia-alexandrov-a989b287/

Candidate Statement:
SIAM’s invaluable service to its worldwide community of researchers and practitioners, as well as to the domain of applied and computational mathematics, is evident. Therefore, I will limit my statement to a description of a problem to which, I believe, SIAM has an opportunity to make a critical contribution. 

Self-adjusting systems (SAS) and adaptive systems, in general, are spreading from well-defined activities, such as manufacturing, to complex activities with multi-faceted human interactions and decision making, such as those involved in piloting an aircraft. SAS’ ability to solve large problems of certain types far exceeds that of humans’. However, until SAS are proven and perceived to be as or more adaptable than humans, and resilient in the face of unanticipated faults and variable conditions, humans remain in ultimate control of decision making, while supported by machine-based information and advice. If the human is to remain the ultimate resolver of a problem, the problem must not be more complex than the human can solve. Which raises the question of a machine’s role. Moreover, human-machine interaction in many domains has numerous well-known and well-documented difficulties, including lack or excess of trust, both of which can lead to serious problems, especially in time-critical and safety-critical domains. Given the increasing complexity of such domains, e.g., the skies dense with anticipated unmanned aerial vehicles and air taxis, SAS will acquire growing decision-making authority. When should machines have authority? Under what circumstances is machine decision making trustworthy? 

Traditional validation and verification (V&V) approaches do not answer these questions for SAS. A popular view holds that these problems will be resolved in the domain of autonomous surface transportation. However, despite impressive advances, arguably, the current safety case for autonomous cars is “keep your hands on the wheel”. Airspace is less forgiving. 

Understanding the properties and effects of autonomous computational decision making in safety-critical environments requires a close collaboration of applied and computational mathematicians with colleagues in specific engineering domains, such as airspace. SIAM can play a vital role in promoting practical partnerships with domain researchers through active interaction with societies, such as the American Institute of Aeronautics and Astronautics. Calling the attention of faculty and students in applied mathematics departments to numerous unsolved problems in autonomous systems carries not only valuable educational benefit, but a wider societal benefit as well. After all, everyone will have to coexist with decision-making machines.  

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Peter Benner

Professional Experience:
Chair, Max Planck network “BiGmax: MaxNet on Big-Data-Driven Materials Science” (2017- Present)
Member, Management Board of the DFG Research Training Group 2297 “Mathematical Complexity Reduction”, Magdeburg (2017- present)
Managing Director, Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg (2013-2014)
Honorary Professor (Adjunct Professor), Otto von Guericke University Magdeburg (2011- present)
Member, Management Board of the International Max Planck Research School “ProEng - Advanced Methods in Process and Systems Engineering”, Magdeburg (2010- present)
Director and Scientific Member, Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg (2010- present)
Head of research group “Mathematics in Industry and Technology”, TU Chemnitz (2010- present)
Full Professor, Mathematics in Industry and Technology, TU Chemnitz (2003-2010)
Lecturer, Institute for Mathematics, TU Berlin (2002-2003)
Visiting Associate Professor, TU Hamburg-Harburg (2001-2002)
Assistant Professor, Center for Industrial Mathematics, University of Bremen (1997-2001)
Research Assistant, Department of Mathematics, TU Chemnitz-Zwickau (1994-1996)
Graduate Teaching Assistant, Department of Mathematics, University of Kansas (1993)
Software developer, Hille Engineering GmbH, Aachen (1991-1993)

Education:
Habilitation (venia legendi) in Mathematics, University of Bremen, Germany (2001)
Dr. rer. nat. (Ph.D.) in Mathematics, Technische Universität Chemnitz-Zwickau, Germany (1997)
Diplom (similar to M.Sc.) in Mathematics with minor in Economics, RWTH Aachen, Germany (1993)

SIAM Activities:
Member, SIAM Fellows Selection Committee (2017–2019)
SIAM Fellow (Class of 2017)
Selection Committee, W. T. and Idalia Reid Prize (2014–2017)
Lecturer, Gene Golub SIAM Summer School, Shanghai (2013)
Scientific Committee, SIAM Conference on Applied Linear Algebra, Valencia (2012)
Associate Editor, SIAM Journal on Matrix Analysis and Applications (2005-present)
Editorial Board, SIAM Book Series Fundamentals of Algorithms (2003-2008)
Author of 25 papers in 6 different SIAM journals (2001-present)
Edited one SIAM book (2017)

Professional Memberships:
SIAM; SIAM Fellow (Class of 2017); GAMM (Germany); DMV (Germany); European Mathematical Society (EMS); International Linear Algebra Society.

Research Interests: 
Numerical Linear and Multilinear Algebra, in particular: linear and nonlinear eigenvalue problems, preconditioning of linear systems with block structure, matrix equations, and low-rank tensor approximation and calculus; Model Order Reduction; Numerical Methods in Systems and Control Theory; PDE Constrained Optimization; and High-performance and Power-aware Computing.

Application areas include Computational Nanoelectronics/Circuit Simulation, Computational Electromagnetics, Micro-Electro-Mechanical Systems (MEMS), Computational Fluid Dynamics, Process Engineering, Machine Tool Design, Energy Networks, and Computational Physics/Chemistry.

Website: www.mpi-magdeburg.mpg.de/benner

Candidate Statement:
SIAM is the worldwide leading organization in applied and industrial Mathematics. Beyond its obvious role in structuring the research and funding landscape inside the U.S., it has an increasing impact internationally through its international sections, student chapters, and co-operations with other applied mathematics organizations. Being located in Europe and having been/being actively involved in the governance of GAMM (2010-16) as well as the International Council for Industrial and Applied Mathematics (as GAMM representative) and the EMS (as council member since 2012), I believe outreach activities should be continued and strengthened. This should, e.g., include joint conferences with mathematical organizations outside the U.S. and supporting activities in underdeveloped countries, in particular those having none of their own applied math organizations.

The SIAM Student Chapters are a very attractive instrument for outreach for doctoral students. Activity groups structure the research areas covered by SIAM. International and national sections provide special opportunities for joint regional activities. There might be a need to also have special instruments appealing to postdoctoral researchers in their early career.

Another important issue for the future of SIAM is to steer the successful and excellent publications program through the current turbulent transition phase in the scientific publication world. It is necessary to embrace new areas in applied and industrial mathematics, like SIAM did most recently with the data sciences by launching the SIAM Journal on Mathematics of Data Science. SIAM should continue to define the highest scientific standards in the editorial and reviewing processes, and should transfer this high quality publishing philosophy to new journals and potential other scientific dissemination platforms. SIAM should serve as a role model in this process, and can set standards that would hopefully also be followed by traditional publishing houses at some point. But SIAM also needs to discuss and potentially implement new elements of electronic publishing, like online reviewing and/or commenting functionality, running computational experiments reproducing published results online, etc.

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Tobin (Toby) Driscoll

Professional Experience: 
Professor, Department of Mathematical Sciences, University of Delaware (2004-present)
Associate Professor, Department of Mathematical Sciences, University of Delaware (2004-2010), Assistant Professor, Department of Mathematical Sciences, University of Delaware (2000-2004)
Director of Graduate Studies, Department of Mathematical Sciences, University of Delaware (2009-2012)
Affiliated Faculty, Department of Biomedical Engineering, University of Delaware (2013-present)
NSF Postdoctoral and VIGRE Fellow, University of Colorado, Boulder: (1996-2000)

Education: 
M.S. and Ph.D. in Applied Mathematics, Cornell University (1991-1996)
B.S. in Mathematics and B.S. in Physics, Pennsylvania State University (1987-1991)                                               

SIAM Activities:
Member since 1994
Associate Editor, SIAM Journal on Scientific Computing (2007-2013)
SIAM Council Member (2016-2018)
Author of three SIAM books

Professional Memberships: 
SIAM

Research Interests: 
Scientific computing and numerical analysis, mathematical software, applications in biology and medicine.

Website: www.tobydriscoll.net

Candidate Statement: 
My time on the Council has reaffirmed my belief that SIAM is second to none as a professional society. Blessed with outstanding members, staff, and leadership, it continues to provide valuable support to like-minded researchers across a wide spectrum of levels, institutions, countries, and backgrounds. SIAM continues to play a vital role in shaping how math is used to understand and affect our world. If granted the privilege to serve another term, I will seek to use the experience I have gained to help SIAM continue with excellence in its present services, even as it seeks to meet new challenges and find new opportunities in publications, meetings, education, and public advocacy.  

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Qiang Du

Professional Experience:
Fu Foundation Professor of Applied Mathematics, Columbia University (current)
Chair, Applied Mathematics Program, Department of Applied Physics and Applied Mathematics
Faculty and Co-chair, Center for Foundations of Data Science, Data Science Institute, Columbia University
Verne M. Willaman Professor of Mathematics and Professor of Materials Science and Engineering, Penn State University (until 2014).

Qiang Du has held regular and visiting positions in a number of universities and DOE national labs over the years. Recognitions for his work include Frame Faculty Teaching Award (1992),  Feng Kang Prize in Scientific Computing (2005), SIAM Outstanding Paper Prize (2016), ACM Gordon Bell Prize Finalist (2016), Excellent Paper Prize of Scientia Sinica Mathematica (2017), Distinguished speaker of NSF-CBMS Regional Research Conference Principal Lectures (2017), Invited speaker of International Congress of Mathematicians (ICM 2018), Fellow of SIAM (Class 2013), Fellow of American Association for the Advancement of Science (Class of 2017).

Education:
Ph.D. in Mathematics, Carnegie Mellon University (1988) (selected by a special AMS-SIAM committee to pursue graduate study in the U.S.); B.S.,University of Science and Technology of China (1983).

SIAM Activities:
Prof. Du has been a member of SIAM for over 30 years and a Fellow of SIAM since 2013
Editorial board member, SIAM Journal of Applied Mathematics (since 2012, and Section Editor since 2015)
Editorial Board member, SIAM Journal of Numerical Analysis (since 2003); Founding faculty advisor of Penn State SIAM student chapter
Past chair of SIAM Activity Group in Mathematical Aspects of Materials Science (2014-2016)
Co-chair, SIAM Conference on Mathematical Aspects of Materials Science (2016)
SIAM Activity Group Liaison for SIAM News (since 2017)
SIAM representative to the U.S. National Committee on Theoretical and Applied Mechanics (2016-2019)

Research Areas:  
Mathematical modeling, analysis and computing with selected applications in biological, materials, and information sciences.

Professional Memberships:
SIAM, United States Association for Computational Mechanics (USACM), American Mathematical Society, American Association for the Advancement of Science (AAAS). 

Website: http://www.columbia.edu/~qd2125/

Candidate Statement: 
Being a SIAM member for more than thirty years and having served the community in various roles, I am honored to be nominated as a candidate for the SIAM Council.  It has been gratifying to witness the continuing growth of SIAM over the years in academia, industry and national labs, in the U.S. and the rest of the world, and to take part in its activities serving students and young professionals. I look forward to the new opportunity, if elected, to work with other members of the Council and SIAM to address issues facing the community. In particular, it will be great to explore what more SIAM can do to increase its appeal to the younger generation, to take a bigger role in data and machine learning research (including areas such as the analysis of scientific data, intelligent scientific computation, robust design and ethical use of algorithms in data and AI), to strengthen ties and to promote collaboration and joint activities between the different SIAM student chapters, between different sections and activity groups, and between SIAM and other professional societies in related disciplines and from different geographical regions.

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Xiaoye Sherry Li

Professional Experience:   
Senior Scientist, Lawrence Berkeley National Laboratory (2014-present)
Staff Computer Scientist, Lawrence Berkeley National Laboratory (2001-2014)
Computer Systems Engineer, Lawrence Berkeley National Laboratory (1996-2001)
Visiting Associate Researcher, University of California, Berkeley (1999-2005)
Consultant, Xerox Palo Alto Research Center (1994-1996)

Education:
Ph.D., Computer Science, University of California, Berkeley
M.A., Mathematics and M.S., Computer Science, Penn State University
B.S., Computer Science, Tsinghua University, China

SIAM Activities:
SIAM Council (2016-present)
SIAM Major Award Committee (2018-2020)
Co-Chair, 2017 SIAM Conference on Computational Science and Engineering
Gene Golub SIAM Summer School Committee (2015-present)
Steering Committee, SIAM Combinatorial Scientific Computing Workshop Series (2014-present)
SIAM SIAG/Supercomputing Prize Committee (2014)
Editorial Board, SIAM Journal on Scientific Computing (2006-2009)
Invited Speaker, SIAM Workshop on Combinatorial Scientific Computing (2018)
Invited Plenary Speaker, SIAM Conference on Applied Linear Algebra (2015)
Invited Lecturer, the Fourth Gene Golub SIAM Summer School (2013)
Invited Plenary Speaker, SIAM Annual Meeting (2010)

Professional Memberships:
SIAM (Fellow, class of 2016), SIAGs on Computational Science and Engineering, Linear Algebra, and Supercomputing; Association for Computing Machinery (Senior Member).

Research Interests:
Parallel computing, sparse matrix algorithms, high performance algebraic solvers, combinatorial scientific computing, high precision arithmetic, mathematical software. 

Website: http://crd-legacy.lbl.gov/~xiaoye/

Candidate Statement:
SIAM has been the most important professional society that brings together applied mathematics and computing to solve many real-world problems. It fosters the rapid growth of the interdisciplinary fields in computational science and engineering, with journals and conferences of the highest standard.  As a Council member for two and a half years, I have participated in fruitful discussions about improving SIAM Activity Groups, conferences, journals, and prize and award programs. I visited a number of SIAM Student Chapters at various universities. I believe SIAM can play a more prominent role in (1) facilitating closer collaboration between theoreticians and practitioners through joint appointments, conferences, and publications, (2) providing more opportunities to involve graduate students and junior scholars, and promoting diversity, (3) nurturing nontraditional areas that require cross-cutting technologies, such as analysis of experimental data from scientific instruments. In my capacity as a Council member, I would like to continue working with the SIAM community in developing better approaches in these areas.

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Juan M. Restrepo

Professional Experience:
Professor, Department of Mathematics, Oregon State University, 2014 – present. 

Education:                                                                  
Ph.D., Physics, Penn State University
M.S., Engineering, Penn State University
B.S., Music, New York University

SIAM Activities:
Membership Committee
Joint Mathematics Meetings Program Committee
Website Advisory Committee
Vice-chair SIAM Activity Group on Geosciences

Professional Memberships:
SIAM, lifetime member; American Geophysical Union; American Physical Society.

Research Interests:
Uncertainty quantification, ocean and climate dynamics.

Website: www.math.oregonstate.edu/~restrepo

Candidate Statement: 
Among the various SIAM executive groups, the Council is where diversity and creativity can be put to very good use in fostering innovation. 

SIAM could be a solution to the following problem: bringing talented scientists up to date on research by increased participation: I would like to draw more people from around the world to our meetings and topical conferences (especially) by exploiting electronic means of participation, for people who cannot attend meetings. SIAM has the knowledge base and the member expertise to offer continuing education credit courses of interest to industry and government scientists. A way I can imagine we can encourage strong network connections is to offer industrial problems workshops at meetings, akin to NSF-sponsored industrial workshops  I would also like to see co-locating certain conferences in order to offer special sessions from SIAM and from other learned societies, encouraging greater scientific cross fertilization. 

I think innovation is a necessary condition to draw young, new, and diverse members from around the world and from all disciplines, and it is innovation that keeps SIAM healthy and evolving.  

I am excited and honored to be considered to serve on the SIAM Council. 

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Kim-Chuan Toh

Professional Experience: 
Professor, Department of Mathematics, National University of Singapore (2008 – present); Assistant Professor, Associate Professor, National University of Singapore (1996 – 2008). 

Education: 
Ph.D. in Applied Mathematics, Cornell; M.S. and B.S. (Honours) in Mathematics, National University of Singapore.


SIAM Activities: 
SIAM Fellow (2018)
Editorial Board, SIAM Journal on Optimization (2007-present)
Topical Speaker, SIAM Annual Meeting (July 2010)
Organizing Committee Member, SIAM Conference on Optimization (May 2011)
Secretary, SIAM Activity Group on Optimization (2014-2016)
Minisymposium speaker/organizer at various SIAM meetings
Referee for SIAM Journal on Optimization, SIAM Journal on Scientific Computing, SIAM Journal Matrix Analysis and Applications, SIAM Journal on Numerical Analysis, SIAM Journal on Imaging Sciences

Professional Memberships: 
SIAM, Mathematical Optimization Society, INFORMS. 

Research Interests: 
Convex conic optimization: algorithms, theory and applications, in particular, for large-scale semidefinite programming. Fast algorithms for large-scale optimization problems in machine learning and statistics. Iterative methods for large linear equations arising from optimization. 

Candidate Statement:
Optimization has been an essential part of research in business and engineering, and is increasingly being rigorously applied in data science, statistics, physical sciences, and medicine. The SIAM optimization community has established a large body of knowledge on optimization theory and developed powerful algorithms and software packages for practical computation. The rapid development of practical optimization algorithms is, in large part, made possible by the foundation built by SIAM’s numerical linear algebra, scientific computing and numerical analysis communities, as exemplified by the LAPACK and sparse matrix factorizations libraries that are routinely used as the underlying engine for efficient computation in an optimization algorithm. It appears that several research areas in SIAM, such as imaging science, data science, computational science, and numerical analysis, would benefit from more interactions with optimization and vice-versa. I would like to see more cross- fertilization of these areas to make SIAM a unique avenue for the dissemination of research in building models, establishing theoretical results and developing powerful algorithms for applications in this age of data science and artificial intelligence. 

I would also hope to see more interactions and synergy between the activities organized by the applied mathematics and optimization communities in Asia with SIAM’s activities. 

I am honored to be nominated for election as a Council member. If elected, I would do my best to contribute to SIAM’s longstanding effort as the prime driver of research activities in applied mathematics and its applications for the benefit of society. 

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Joel A. Tropp

Professional Experience: 
Steele Family Professor of Applied & Computational Mathematics, Caltech (2017–Present)
Professor of Applied & Computational Mathematics, Caltech (2012–2017) 
Assistant Professor of Applied & Computational Mathematics, Caltech (2007–2012)
T. H. Hildebrandt Research Assistant Professor and NSF Postdoctoral Fellow, UM-Ann Arbor (2005–2007) 
Research Assistant Professor, UM-Ann Arbor (2004–2005)

Education: 
Ph.D. (2004) and M.S. (2002) Computational and Applied Mathematics, UT-Austin; B.S. Mathematics with special honors and B.A. Plan II Honors Program, magna cum laude, UT-Austin (1999).

SIAM Activities: 
Co-chair, 2020 SIAM Conference on Mathematics of Data Science
Co-founder and section editor, SIMODS (2018–Present)
SIAM Council representative to SIAM Board (2017–2018)
Elected member, SIAM Council (2016–2018)
SIAM invited speaker, Joint Mathematical Meetings (2015)
Associate Editor, SIAM Journal on Mathematical Analysis (2013–2018)

Professional Memberships: 
SIAM, IEEE.

Research Interests: 
Applied mathematics, signal processing, statistics, numerical analysis, random matrix theory.

Website: http://users.cms.caltech.edu/~jtropp/

Candidate Statement: 
This is an exciting time for applied and computational mathematics. Traditional areas (such as computational science & engineering) have made and continue to make significant contributions to society. At the same time, younger parts of our field (such as mathematics of data science) have been steadily increasing in importance.

One of the great opportunities for SIAM is to promote both the younger and older branches of our field and to establish a rapport between them, both in our research and educational programs. I also think it is important to support the careers of younger scientists so that we can establish the next generation of leaders in our field.

As a first step in this program, I worked with Tammy Kolda to establish the SIAM Journal on Mathematics of Data Science (SIMODS), which will publish its first issue in the fall. I am also serving as the co-chair of the first SIAM Conference on Mathematics of Data Science, to take place in 2020. 

At the same time, we do face a few serious challenges, such as uncertainty about federal research funding and the maintenance of our journals as publishing models evolve.

With these opportunities and challenges in mind, I am grateful to be considered for re-election to the SIAM Council.

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