SIAM News Blog
SIAM News
Print

Visiting Lecturer Program – October Spotlights

The SIAM Visiting Lecturer Program (VLP) provides the community with a roster of experienced and inspirational applied mathematicians and computational scientists in industry, government, and academia, who can speak on topics that are of interest to developing professional mathematicians. 

Learn more about the following speakers from New Mexico, California, Texas, and Utah and contact them if you are interested in them speaking at your institution.

Sara Del Valle

Deputy Group Leader/Scientist, Los Alamos National Laboratory | Santa Fe, New Mexico, U.S.

 

Job Description: Develops and analyzes mathematical, computational, and statistical models for the spread of infectious diseases, social contact networks, and global dynamics. / Investigates the role of Internet data streams such as Twitter, Wikipedia, and other non-traditional data streams on monitoring and forecasting infectious diseases. 

Other Positions: Scientist at Los Alamos National Laboratory 

Education: B.S. in Applied Mathematics   /   M.S. in Applied Mathematics   /   Ph.D. in Applied Mathematics and Computational Sciences   /   Adjunct Research Professor, Department of Mathematics and Statistics, Arizona State University

Possible Lecture Topic and Audience: Real-time Social Internet Data to Guide Forecasting Models / General audience 
Possible Lecture Topic and Audience: Agent-based Modeling Approaches for Simulating Infectious Diseases / General audience (calculus experience and experience with proofs not required!)
Possible Lecture Topic and Audience: Human Behavior and Heterogeneous Mixing Patterns on Social Networks & Epidemics / General audience (calculus experience and experience with proofs not required!)




Edgar Duenez-Guzman

Senior Research Engineer, DeepMind | San Francisco, California, U.S.

 

Job Description: Integrate machine learning technologies to solve real-world problems with a combination of cutting-edge research and large-scale infrastructure. 

Other Positions: Software Engineer at Google (2013-2017)

Education: B. S. Mathematics   /   M. S. Industrial Mathematics and Computing   /   Ph.D. Computer Science

Possible Lecture Topic and Audience: Machine Learning, past and future / General audience
Possible Lecture Topic and Audience: Evolution of altruism, from bacteria to humans / General audience (calculus experience and experience with proofs not required!)





Natalie Durgin

Senior Data Scientist, Spiceworks | Austin, Texas, U.S.

 

Education: B.S. Mathematics, Harvey Mudd College 2009   /   Ph.D. in Mathematics, Rice University 2015 (Algebraic Geometry, Geometric Invariant Theory)

Possible Lecture Topic and Audience: An NLP Approach to Grouping Similar Questions in Community Forums / Undergraduate math majors and beyond
Possible Lecture Topic and Audience: Compressed Anomaly Detection with Multiple Mixed Observations / Mathematics graduate students and beyond
Possible Lecture Topic and Audience: Down-to-Earth Data Science: Before you whip out that neural net, these techniques might get you 80% of the way there! / General audience (calculus experience and experience with proofs not required!) 




 

Berton Earnshaw

Vice President, Data Science, Recursion Pharmaceuticals | Salt Lake City, Utah, U.S.

 

Job Description: Lead research team in applying machine learning to drug discovery and development.

Other Positions: Adjunct Professor, Mathematics, University of Utah

Education: B.S. Mathematics, Brigham Young University   /   MS Mathematics, Brigham Young University   /   Ph.D. Mathematics, University of Utah

Possible Lecture Topic and Audience: An image is worth a thousand treatments: AI and drug discovery / General audience
Possible Lecture Topic and Audience: Applications of deep learning in human cellular biology / Mathematics graduate students and beyond
Possible Lecture Topic and Audience: So you want to be a data scientist? How to leverage your math degree. / Undergraduate math majors and beyond 



Learn more about hosting a speaker at your institution by visiting the Program Guidelines.

blog comments powered by Disqus