Speaker Profiles
Check out the list of available lecturers for the SIAM Visiting Lecturer Program.
Aaron Arnoldsen
Associate Director of Software Engineering (Machine Learning & AI Technology), Boston Consulting Group BCG | Beaverton, Oregon, U.S.
Job Description: Developed vision, strategy, and operating model to make a transformational change to Nike Direct Pricing, Promotion, and Markdown capability. / Worked with Senior executive team to prepare organization for massive price management change including the investment needed to run program. / Lead the Product team tasked with revolutionizing Nike planning process & tools. / Executed Space Planning process & tool change allowing Nike to plan Nike owned store fixture & planograms to enable hyper local assortments and store specific capacities.
Other Positions: Global Consumer Direct Technology (CDT) Product Director – Inventory Management; Nike Inc
Education: Bachelor of Science, Economics & Mathematics / Master of Science in Analytics (Northwestern); Master of Business Administration (University of Florida)
Other information: Accepted as member of International High IQ Society (MENSA).
Possible Lecture Topic and Audience: Product Design & Advanced Analytics in Demand Sensing & Optimization / Graduate math students and beyond
Possible Lecture Topic and Audience: Making Big Data & Analytics a Reality in Industry / General audience (calculus experience and experience with proofs not required!)
Possible Lecture Topic and Audience: What do I use a Math degree for in the real world / Undergraduate math majors and beyond
Chris Bemis
Head of Quantitative Analysis and Research, Whitebox Advisors | Minneapolis, Minnesota, U.S.
Job Description: Team lead for researching, implementing, and supporting quantitative strategies for hedge fund trading.
Other Positions: Adjunct Professor at the University of Minnesota
Education: B.S. in Mathematics / M.S. in Mathematics / Ph.D. in Applied Mathematics
Possible Lecture Topic and Audience: Constraints and investor views in portfolio optimization: a Bayesian-like interpretation / Graduate math students and beyond
Possible Lecture Topic and Audience: Practical implementation of math finance models; what works and what doesn't, and why industrial math is so interesting / Undergraduate math majors and beyond
Simone Bianco
Research Staff Member, IBM Research | San Jose, California, U.S.
Education: B.S., Physics and Astrophysics / M.S., Physics / Ph.D., Physics
Possible Lecture Topic and Audience: The wonderful world of life in a drop of water: Plankton dynamic and its importance for our lives / General audience
Possible Lecture Topic and Audience: Machine learning and AI in Biology / Undergraduate math majors and beyond
Possible Lecture Topic and Audience: Infectious disease dynamic and evolution / Graduate math majors and beyond
Margaret D. Callahan
Bureau of Conflict and Stabilization Operations, U.S. Department of State | Washington, D.C., U.S.
Job Description: Lead conflict analyst for the Western Hemisphere. Applies data analytics and a range of empirical methods to understand drivers of global conflict and inform policy, programming, and prioritization.
Education: B.S. in Mathematics / Ph.D. in Applied Mathematics
Other Information: American Mathematical Society Congressional Fellow (2017-2018), AAAS Science & Technology Policy Fellow (2018-2020)
Possible Lecture Topic and Audience: Quantitative approaches to global conflict mitigation / Undergraduate math majors and beyond
Possible Lecture Topic and Audience: Non-traditional math careers in government and public policy / Undergraduate math majors and beyond
Joe Callender
Executive Director, EY | Washington D.C., U.S.
Job Description: Leader of the quantitative survey practice.
Other Positions: Research Fellow at LMI
Education: B.A. Mathematics / M.S. in Applied Mathematics
Possible Lecture Topic and Audience: Business applications of mathematics / Undergraduate math majors and beyond
Carolyn Cho
Director / Sr Principal Scientist, Merck Research Laboratories | New York City, New York, U.S.
Job Description: Immunology Pharmacometrics Therapeutic Area Lead
Other Positions: Director of Systems Biology Target Validation, Pfizer Research Technology Center
Education: B.S. (honors) Mathematics-Physics, joint / M.S. Physics / Ph.D. Biological Physics
Other information: Postdoctoral Fellow, Molecular Biology, Princeton University
Possible Lecture Topic and Audience: Mathematical modeling in drug discovery and development / General audience
Possible Lecture Topic and Audience: Mechanistic interpretation of systems immunology data / Mathematics graduate students and beyond
Possible Lecture Topic and Audience: Career opportunities for mathematicians in the pharmaceutical industry / Undergraduate math majors and beyond
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 A. Duenez-Guzman
Chief Technology Officer, Gibran AI | London, U.K.
Job Description: Creating AI to defend human autonomy
Other Positions: Staff Research Scientist Google DeepMind, Postdoctoral Fellow at Harvard University and KU Leuven
Education: B.S. Mathematics / M.S. Industrial Mathematics and Computing / Ph.D. Computer Science
Possible Lecture Topic and Audience: Multi-agent reinforcement learning and game theory / graduate and undergraduate
Possible Lecture Topic and Audience: Modelling social phenomena with AI / graduate and undergraduate
Possible Lecture Topic and Audience: Bias and discrimination in AI / graduate and undergraduate
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 / M.S. 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
Stephanie Fitchett
Data Scientist, Transamerica | Boulder, Colorado, U.S.
Other Positions: Statistician, Neptune and Company, Inc.
Education: B.S. in Mathematics / M.S. in Mathematics, M.S. in Statistics / Ph.D. in Mathematics
Other information: Rotating program officer in the Division of Undergraduate Education at the National Science Foundation
Possible Lecture Topic and Audience: Data science in life insurance underwriting / Undergraduate math majors and beyond
Possible Lecture Topic and Audience: The interdisciplinary world of data science / Can be adjusted to any of the above audiences
Possible Lecture Topic and Audience: Evaluating estimates of solar power for an electric utility / Undergraduate math majors and beyond
Sarah Gaichas
Research Fishery Biologist, NOAA | Washington D.C., U.S.
Job Description: Develop analyses and models to facilitate ecosystem based fishery management.
Education: B.A. English Literature, Swarthmore College / M.S. in Marine Science, Virginia Institute of Marine Science, College of William and Mary / Ph.D. in Fisheries and Aquatic Science, University of Washington
Possible Lecture Topic and Audience: Applied mathematics and statistics in fisheries science / Undergraduate math majors and beyond
Geographical Constraints: Southern New England states
André Gaul
Co-Founder and CEO, PaperHive | Berlin, Germany
Job Description: Co-Founder, CEO and technical lead at PaperHive.
Other Positions: Advisor at SatoshiPay (blockchain/cryptocurrency startup)
Education: B.A. in Mathematics (minor Computer Science, University Erlangen-Nürnberg) / Diploma (M.A.) in Mathematics (minor Computer Science, University Erlangen-Nürnberg) / Ph.D. in Mathematics (TU Berlin)
Other information: Free software and community network (Freifunk) activist
Possible Lecture Topic and Audience: Everything around startups (how to get started, software, how does mathematics help, ...) / General audience
Possible Lecture Topic and Audience: Future of academic publishing (new approaches, tools, collaboration, open access, peer review, ...) / General audience (calculus experience and experience with proofs not required!)
Possible Lecture Topic and Audience: Scientific computing with Python (numerical linear algebra, finite elements) / Graduate math majors and beyond
Leo Grady
CEO in Residence, Breyer Capital | New York City, New York, U.S.
Job Description: Investing, advising and incubating AI companies in healthcare.
Other Positions: Principal Research Scientist, Siemens
Education: B.S. Electrical Engineering / Ph.D. Cognitive and Neural Systems / AIMBE, IEEE
Possible Lecture Topic and Audience: AI in healthcare, computer vision, clinical translation of research
Genetha Gray
Data Science Leader, Edward Jones | Elk Grove, California, U.S.
Job Description: Research and development of workforce and HR analytics methodologies.
Other Positions: Data Scientist, Intel
Education: B.S. Mathematics (UC Davis) / M.A. Mathematics (CSU-Sacramento) & M.A. Computational & Applied Math (Rice) / Ph.D. Computational & Applied Math (Rice)
Possible Lecture Topic and Audience: People Analytics: Mathematical Modeling in HR / General audience
Possible Lecture Topic and Audience: Using math skills to building a career in data science / Undergraduate math majors and beyond
Possible Lecture Topic and Audience: Optimization of data-based models / Graduate math majors and beyond
Gerardo Hernández Correa
Application Engineer Manager, MathWorks | Natick, Massachusetts, U.S.
Job Description: Senior Application Engineer at MathWorks
Education: B.S. in Physics / M.S. in Applied Mathematics, M.S. in Mechanical Engineering
Possible Lecture Topic and Audience: Building Computational Thinking / General audience
Possible Lecture Topic and Audience: Machine Learning / General audience (calculus experience and experience with proofs not required!)
Geographical Constraints: Travels internationally for work and may be able to visit some international Chapters during those trips (U.S., Canada, Latin America and Asia)
Sheldon Jacobson
Professor, Seibel School of Computing and Data Science, University of Illinois at Urbana-Champaign | Urbana, Illinois, U.S.
Job Description: Professor of Computer Science
Education: B.S. in Mathematics / M.S. in Mathematics / Ph.D. in Operations Research
Possible Lecture Topic and Audience: Communicating Your Research to the Public: Things They Never Taught you in School / graduate and undergraduate
Possible Lecture Topic and Audience: Analytical Models for Generating NCAA Men's Basketball Tournament Bracket Pools: Injecting Computation into March Madness / graduate and undergraduate
Possible Lecture Topic and Audience: Is Computational Redistricting and Algorithms the Solution to Gerrymandering? / graduate and undergraduate
Geographical Constraints: Prefers flying
Derek Kane
Staff, DEKA Research and Development | Boston, Massachusetts, U.S.
Job Description: Provide analytic and statistical support for DEKA's projects.
Education: B.S. Mechanical Engineering / M.S. Mathematics / Ph.D. Mathematics
Possible Lecture Topic and Audience: The need for an ethical foundation in applied mathematics / General audience
Possible Lecture Topic and Audience: The ubiquity and importance of mathematics in industry / General audience (calculus experience and experience with proofs not required!)
Possible Lecture Topic and Audience: The application of mathematics to important social problems / General audience (calculus experience and experience with proofs not required!)
Sarah Knepper
Software Engineering Manager, Intel Corporation | Portland, Oregon, U.S.
Job Description: Responsible for the maintenance, development, and performance optimization of dense and sparse linear algebra in the Intel oneAPI Math Kernel Library (oneMKL).
Education: B.A. in Computer Science and Theatre / M.S. in Computer Science / Ph.D. in Computer Science
Possible Lecture Topic and Audience: Optimizing dense linear algebra software / Graduate math students and beyond
Possible Lecture Topic and Audience: Being a woman in tech / Undergraduate math majors and beyond
Aaron Luttman
Advisor, Advanced Analytics, Pacific Northwest National Laboratory | Richland, WA, U.S.
Job Description: Research mathematician with a focus on bringing mathematical developments in data analysis to new applications in national security. / Building interdisciplinary teams of scientists and mathematicians to solve real-world problems. / University outreach and collaboration.
Other Positions: Scientist, Manager, and Program Manager, Nevada National Security Site / Technical Advisor, National Nuclear Security Administration, US Department of Energy / Assistant Professor, Clarkson University
Education: B.S. Mathematics, Purdue University / M.S. Mathematics, University of Minnesota / Ph.D. Mathematics, University of Montana
Possible Lecture Topic and Audience: Undergraduate Research Opportunities in Nation's Nuclear Security Complex / Undergraduate math majors and beyond
Possible Lecture Topic and Audience: The Scientific Enterprise Underpinning Nuclear Nonproliferation Research and the Stewardship of the Nation's Nuclear Stockpile / General audience (calculus experience and experience with proofs not required!)
Possible Lecture Topic and Audience: Statistical Methods for Large-scale Inverse Problems, with applications to imaging in Nuclear Security / Graduate math majors and beyond
Lois Curfman McInnes
Senior Computational Scientist, Argonne National Laboratory | Lemont, Illinois, U.S.
Job Description: Investigate numerical algorithms and software (in the PETSc library) for the parallel solution of large-scale scientific applications involving nonlinear partial differential equations and related optimization problems, with emphasis on high-performance multiphysics simulations. / Lead work on mathematical libraries in the DOE Exascale Computing Project (ECP), featuring collaboration on the Extreme-scale Scientific Software Development Kit (xSDK), which is working toward a software ecosystem for high-performance numerical libraries. / Improve developer productivity and software sustainability in the IDEAS software productivity project.
Other Positions: Worked in the Mathematics and Computer Science Division of Argonne National Laboratory in various capacities since initial appointment in 1993, as a DOE Distinguished Postdoctoral Fellow.
Education: B.S. in Mathematics and Physics, Summa Cum Laude, Muhlenberg College / Ph.D. in Applied Mathematics, University of Virginia / SIAM Fellow
Possible Lecture Topic and Audience: Applied Math and Computational Science at DOE Labs (+ My Career Path) / Undergraduate math majors and beyond
Possible Lecture Topic and Audience: Toward Community Software Ecosystems for High-Performance Computational Science / Undergraduate math majors and beyond
Geographical Constraints: Logistics would be easiest within driving distance of Rockville, MD or Argonne National Laboratory. Would prefer to bundle trips to other locations with other business travel, due to job and family logistics challenges.
Veronica Mejia Bustamante
Quant Financial Analyst, Bank of America | Atlanta, Georgia, U.S.
Job Description: Quantitative Analysis
Other Positions: Software Engineer at Intel Corporation
Education: B.S. Mathematics, B.S. Economics / M.S. Mathematics / Ph.D. Mathematics
Possible Lecture Topic and Audience: STEM majors in industry / Undergraduate math majors and beyond
Possible Lecture Topic and Audience: Transitioning from Grad School to Careers in Industry / Mathematics graduate students and beyond
Possible Lecture Topic and Audience: Applications of data science in finance / Undergraduate math majors and beyond
Veena Mendiratta
Adjunct Professor, Northwestern University | San Francisco Bay Area, California, U.S.
Job Description: Instructor and student projects advisor in the MS in ML and Data Science program at Northwestern University.
Other Positions: Bell Labs (retired)
Education: B.Tech in Engineering / Ph.D. in Operations Research / Senior Member IEEE, Member INFORMS, Life Member of SIAM.
Other information: Invited judge at the COMAP sponsored Mathematical Competition in Modeling (MCM and ICM) for undergraduate students and (HiMCM) for high school students.
Possible Lecture Topic and Audience: Explainable AI for Machine Learning Models / graduate and undergraduate
Possible Lecture Topic and Audience: Bias and Fairness in Machine Learning Models / graduate and undergraduate
Possible Lecture Topic and Audience: Anomaly Detection in Telecom Networks / graduate and undergraduate
Possible Lecture Topic and Audience: Reliability Modeling in Telecom Networks / graduate and undergraduate
Helen Moore
Associate Professor, University of Florida, Laboratory for Systems Medicine | Gainesville, FL, U.S.
Job Description: I optimize combination drug regimens, predict cancer patient response to immunotherapy, and study uncertainty quantification of predictions from math models.
Other Positions: Modeler and/or manager at Applied BioMath, AstraZeneca, Bristol-Myers Squibb, Certara, Genentech
Education: B.S. in Mathematics / Ph.D. in Mathematics / Fellow of SIAM
Other information: Spent the first 11 years after Ph.D. working in academia, started working in industry in 2006, returned to academia in 2021.
Possible Lecture Topic and Audience: How to Use Mathematics to Predict Cancer Patient Responses to Immuno-therapy / Undergraduate math majors and beyond
Possible Lecture Topic and Audience: How to Mathematically Optimize Combination Drug Regimens / Undergraduate math majors and beyond
Mechie Nkengla
Chief Data Strategist, Data Products LLC | Chicago, Illinois, U.S.
Job Description: CEO
Other Positions: Director of Data Science
Education: Ph.D. Applied Mathematics
Possible Lecture Topic and Audience: Successfully Implementing Advance Analytics in Organizations
Possible Lecture Topic and Audience: Data Literacy and Quantitative Reasoning
Possible Lecture Topic and Audience: The Odyssey of a Mathematician from Academia to Industry
Jacqueline Nolis
Owner, Nolis, LLC | Seattle, Washington, U.S.
Job Description: Independent data science consultant.
Other Positions: Director of Insights & Analytics at Lenati
Education: B.S. in Mathematical Sciences, Worcester Polytechnic Institute / M.S. in Applied Mathematics, Worcester Polytechnic Institute / Ph.D. in Industrial Engineering, Arizona State University
Other information: Winner of Season 3 of the reality TV show: King of the Nerds
Possible Lecture Topic and Audience: How to get into the field of Data science / Undergraduate math majors and beyond
Possible Lecture Topic and Audience: Using deep learning learning for natural language processing in production / Undergraduate math majors and beyond
Possible Lecture Topic and Audience: An introduction to R for data science / Undergraduate math majors and beyond
Geographical Constraints: Limited availability outside of Washington state
Bonita Saunders
Research Mathematician, National Institute of Standards & Technology | Gaithersburg, Maryland, U.S.
Job Description: Research mathematician in Applied and Computational Mathematics Division, visualization editor for NIST Digital Library of Mathematical Functions, project leader for NIST Standard Reference Tables on Demand Project. Current research interests in mesh/grid generation, 3D visualization of mathematical functions, mathematical software for special functions.
Other Positions: Programmer/Analyst at BDM Corporation, Mathematics Instructor at Hampton, University, Mathematics Instructor at Norfolk State University
Education: B.A. in Mathematics / M.S. in Mathematics / Ph.D. in Computational and Applied Mathematics
Possible Lecture Topic and Audience: Web-Based 3D Graphics for the Interactive Visualization of Complex Function Data / Undergraduate math majors and beyond
Possible Lecture Topic and Audience: Research in Computational and Applied Mathematics at the National Institute of Standards and Technology / Undergraduate math majors and beyond
Possible Lecture Topic and Audience: Discovering the NIST Digital Library of Mathematical Functions Through its User-Friendly Technology / Undergraduate math majors and beyond
Geographical Constraints: Contiguous United States only
Mark S. Squillante
Distinguished Research Staff Member, and Manager of Foundations of Probability, Dynamics and Control, IBM Research | Yorktown, New York, U.S.
Job Description: Research in mathematical foundations of the analysis, modeling and optimization of the design and control of complex systems under uncertainty.
Other Positions: Previous Adjunct Professor at Cornell Tech and Columbia University.
Education: A.B. in Mathematics / M.S. / Ph.D. in Applied Mathematics/Computer Science; Fellow of SIAM, INFORMS, ACM, IEEE, AAIA, AIIA
Possible Lecture Topic and Audience: Decision Making under Uncertainty / Undergraduate math majors and beyond, but can be tailored to a more general audience.
Possible Lecture Topic and Audience: Stochastic Optimization and Stochastic Optimal Control (can include applications such as workforce planning/operations/management and dynamic resource allocation) / Graduate math students and beyond, but can be tailored to a less technical audience.
Possible Lecture Topic and Audience: Efficient Learning with Distributionally Robust Optimization / Graduate math students and beyond, but can be tailored to a less technical audience.
Jean Steiner
Senior Director of Data and Insights, Skillshare | New York City, New York, U.S.
Job Description: Head of data (including data science and business intelligence)
Other Positions: Data Scientist and Business Analyst at Google
Education: A.B. Mathematics / Ph.D. Mathematics
Possible Lecture Topic and Audience: Career exploration / General audience
Possible Lecture Topic and Audience: Data science (where data questions arise in running a business) / General audience (calculus experience and experience with proofs not required!)
Geographical Constraints: Based in NYC, travel depends on timeline.
Sumanth Swaminathan
Co-founder and CEO, Vironix Health Inc | Austin, TX, U.S.
Job Description: Responsible for innovating company products, leading R&D, and developing/executing company business strategy.
Other Positions: Adjunct Professor of Math at U. Delaware ; Advisory Board Member of Oxford University Industrially Focused Mathematical Modeling
Education: B.S.E in Chemical Engineering / M.S. in Applied Mathematics / Ph.D. in Applied Mathematics / Certified Data Incubator Fellow
Possible Lecture Topic and Audience: Leveraging Mathematical Modeling for Industrial Product Development / General audience
Possible Lecture Topic and Audience: Directing business strategy and operational execution through data analytics and prediction models / A quantitative background of any kind with a rudimentary understanding of machine learning would be helpful.
Possible Lecture Topic and Audience: Leveraging both empirical and first principal models to create value. / General audience (calculus experience and experience with proofs not required!)
Christopher Teixeira
Department Chief Engineer, MITRE | Boston, Massachusetts, U.S.
Job Description: Department Chief Engineer and Principal Data Scientist for the Model-based analytics department.
Other Positions: Senior Analytic Consultant at Epsilon
Education: B.S. in Mathematics / M.S. in Operations Research
Possible Lecture Topic and Audience: Story Telling with Data / Undergraduate math majors and beyond
Possible Lecture Topic and Audience: When Machine Learning Fails / Mathematics graduate students and beyond
Possible Lecture Topic and Audience: Working with Messy Data / Undergraduate math majors and beyond
Availability Constraints: Preference is to schedule any talks at least 1-2 months in advance
Geographical Constraints: Prefers to stay in the New England area or Washington DC area
Rob Van Kirk
Senior Scientist, Henry's Fork Foundation | Ashton, Idaho, U.S.
Job Description: Direct the science and technology program at a small nonprofit watershed conservation organization.
Other Positions: Assistant and Associate Professor of Mathematics, Idaho State University
Education: B.A. in Mathematics / M.S. in Environmental Systems / Ph.D. in Mathematics
Other information: Additional graduate coursework in atmospheric science
Possible Lecture Topic and Audience: Applied mathematics as preparation for a career in any STEM discipline / Undergraduate math majors and beyond
Possible Lecture Topic and Audience: Emerging roles for nonprofit organizations in environmental research, education, monitoring, and management in the face of shrinking budgets for government agencies and universities / General audience (calculus experience and experience with proofs not required!)
Possible Lecture Topic and Audience: Managing surface water and groundwater as a single resource: mathematically challenging but necessary to ensure sustainability of water resources in a changing climate / Graduate math majors and beyond
Geographical Constraints: None, as long as travel expenses are covered.
Stefan Wild
Director, Applied Mathematics & Computational Research Division, Lawrence Berkeley National Laboratory | Berkeley, California, U.S.
Job Description: Develop, analyze, and apply algorithms to solve challenging scientific and engineering problems. / Lead a great and talented group in applied mathematics, computer science, computational science, and data science.
Other Positions: Adjunct Faculty, Industrial Engineering and Management Sciences, Northwestern University
Education: B.S. Applied Mathematics / M.S. Applied Mathematics; M.S. Operations Research / Ph.D. Operations Research
Other information: Particular experience and enthusiasm in graduate student and postdoctoral development and opportunities.
Possible Lecture Topic and Audience: Student, postdoc, and staff opportunities at national laboratories / Students interested in long-term planning or internships; graduating students; and postdocs and faculty interested in collaborations
Possible Lecture Topic and Audience: Mathematical optimization for advancing science and engineering / Students and faculty in math, computer science, operations research, statistics, and related fields
Possible Lecture Topic and Audience: Perspective on applying for postdoctoral positions and graduate fellowships / Graduating undergrads to postdocs
Bryan Williams
Scientist, SPAWAR Atlantic | Washington D.C., U.S.
Job Description: Study and research a variety of mathematical concepts and their relevance to Naval problems.
Other Positions: Assistant Professor of Mathematics, Hampton University
Education: B.S. Applied Mathematics / M.S. Mathematics / Ph.D. in Mathematics
Possible Lecture Topic and Audience: Troll and Robot Analysis using Common Enemy Relations / Graduate math students and beyond
Possible Lecture Topic and Audience: Naval funding opportunities for faculty and staff / General audience (calculus experience and experience with proofs not required!)
Carol Woodward
Computational Mathematician, Lawrence Livermore National Laboratory | Livermore, California, U.S.
Job Description: Develop and deploy time integration and nonlinear solver algorithms and software in large-scale scientific applications. Lead a team of computational mathematicians and software developers.
Education: B. S., Mathematics, Louisiana State University / M.A. in Computational and Applied Mathematics, Rice University / Ph.D. in Computational and Applied Mathematics, Rice University / Fellow of the Society for Industrial and Applied Mathematics
Possible Lecture Topic and Audience: Solving PDEs in the DOE / Undergraduate math majors and beyond
Possible Lecture Topic and Audience: Coupled systems, numerical libraries, and high performance computing: How do these come together? / Mathematics graduate students and beyond
Possible Lecture Topic and Audience: Tips for a successful interview / Graduate math majors and beyond
Geographical Constraints: None, although funding for travel must be provided if it can't be done in less than a 2-hour drive.
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