Profiles
 

Speaker Profiles

Speaker Profiles

Aaron Arnoldsen

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

Contact Aaron Arnoldsen
Chris Bemis

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

Contact Chris Bemis
Simone Bianco

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


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Allen Butler

Allen Butler

President, Emeritus | Richmond, Virginia, U.S.

Job Description: Senior Scientist
Other Positions: Treasurer of the MAA

Education: B.A. Mathematics / M.A. Mathematics / Ph.D. in Mathematics / INFORMS Fellow, INFORMS Board VP of Practice
Other Information: INFORMS Fellow

Possible Lecture Topic and Audience: Bayes’ Theorem – Making Rational Decisions in the Face of Uncertainty / Undergraduate math majors and beyond

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Margaret D. Callahan

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

Contact Margaret D. Callahan
Joe Callender

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

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Carolyn Cho

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

Contact Carolyn Cho
Sara Del Valle

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!)

Contact Sara Del Valle
Edgar Duenez-Guzman

Edgar A. Duenez-Guzman

Staff Research Engineer, DeepMind | London, U.K.

Job Description: Research in mutli-agent reinforcement learning, studying social dilemmas, cooperation, discrimination, etc.
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 for solving social challenge / General audience


Contact Edgar Duenez-Guzman
Berton Earnshaw

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

Contact Berton Earnshaw
Stephanie Fitchett

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

Contact Stephanie Fitchett
Sarah Gaichas

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

Contact Sarah Gaichas
André Gaul

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

Contact André Gaul
Leo Grady

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

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Genetha Gray

Genetha Gray

Lead People Research Scientist, Salesforce | Sacramento, 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

Contact Genetha Gray
Gary Green

Gary Green

Retiree Casual, The Aerospace Corporation | Orange County, California, U.S.

Job Description: Numerical analyst on program used to model launch vehicles. / Program review, overseeing algorithm development and its implementing software design for both launch vehicles and spacecraft. / Addressed satellite visibility and proximity problems by determining access to ground targets by space borne sensors, ground observation windows for orbiting objects, and helping design the orbits for military space systems. / Selected strategies for injecting new spacecrafts into constellations. / Developed software used to predict and avoid collisions in space and tested DoD software performing the same function. / Headed a group that addressed location problems, including determining the orbits of space objects and finding locations of objects on the earth surface. / Investigated threats against military space systems.

Other Positions: Assistant Professor, California State College, Stanislaus

Education: B.S. Mathematics (Idaho) / M.S. Mathematics (Michigan State) / Ph.D. Mathematics (Penn State)

Possible Lecture Topic and Audience: IUS Gamma Guidance, An Example of an Industrial Problem Tree / Undergraduates with limited linear algebra and calculus

Availability Constraints: None
Geographical Constraints: Will travel within the Southern California area without charge to student chapters and institutions

Contact Gary Green
Dirk Hartmann

Dirk Hartmann

Siemens Technical Fellow, Siemens Digital Industries Software | Munich, Bavaria, Germany

Job Description: Innovator and intrapreneur in the field of simulation and digital twins with passion for solving complex problems in a scalable and sustainable business oriented way. / Featured at Siemens innovation events including the Siemens innovation day and the annual shareholder meeting.
Other Positions: Technical Lead Company Core Technology Simulation and Digital Twin

Education: Pre-Diploma in Mathematics (equivalent to a B.S., University of Heidelberg) / Diploma in Mathematics (University of Heidelberg), Diploma in Physics (University of Heidelberg), Master of Advanced Studies in Mathematics and Theoretical Physics (University of Cambridge) / Doctor of natural Sciences (University of Heidelberg

Possible Lecture Topic and Audience: Digital Twins / General audience
Possible Lecture Topic and Audience: The changing Role of Simulation - From Mathematics to Digital Twins / General audience
Possible Lecture Topic and Audience: Disrupting Computer Aided Engineering - Mathematics of Accurate Interactive Engineering Solutions / Undergraduate math majors and beyond
Possible Lecture Topic and Audience: Industrial Applications of Scientific Machine Learning / Undergraduate math majors and beyond

Contact Dirk Hartmann
Gerardo Hernández Correa

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)

Contact Gerardo Hernández Correa
Marylesa Howard

Marylesa Howard

Supervisor II, Nevada National Security Site | Las Vegas, Nevada, U.S.

Job Description: Specializes in image and signal processing in support of nuclear physics for the Department of Energy's National Nuclear Security Administration. / Develops algorithms describing physics models to extract information from diagnostic system data for experiments conducted with the National Laboratories. / Supervisor to a team of scientists, mathematicians, and physicists.

Education: B.A. Mathematics / M.S. Mathematics / Ph.D. Mathematics

Possible Lecture Topic and Audience: Mathematics, Engineering and Science in Nuclear Security / Undergraduate math majors and beyond
Possible Lecture Topic and Audience: A Mathematics Career in Industry / Undergraduate math majors and beyond

Contact Marylesa Howard
Tasha R. Inniss

Tasha R. Inniss

Associate Provost for Research, Spelman College | Atlanta, Georgia, U.S.

Job Description: Provides leadership and strategic direction of the interdisciplinary and independent research enterprise at the college, including undergraduate research training.
Other Positions: Tenured Associate Professor of Mathematics

Education: B.S. in Mathematics / M.S. in Applied Mathematics / Ph.D. in Applied Mathematics
Other information: Alumna of HERS Leadership Institute

Possible Lecture Topic and Audience: Path to Math and Through Math / General audience
Possible Lecture Topic and Audience: From data mining to data science to analytics / Undergraduate math majors and beyond
Possible Lecture Topic and Audience: What is operations research exactly? / General audience (calculus experience and experience with proofs not required!)

Contact Tasha R. Inniss
Sheldon Jacobson

Sheldon Jacobson

Founder Professor of Computer 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: Geographic Districting and Political Gerrymandering / General audience
Possible Lecture Topic and Audience: Aviation Security and Risk Assessment / Can be tailored to a technical or nontechnical audience (same for Topic 1)
Possible Lecture Topic and Audience: The mathematics of March Madness / n be tailored to a technical or nontechnical audience (same for Topic 1)

Geographical Constraints: Prefers flying

Contact Sheldon Jacobson
Derek Kane

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!)

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Sarah Knepper

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

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Aaron Luttman

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

Contact Aaron Luttman
Lois Curfman McInnes

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.

Contact Lois Curfman McInnes
Veronica Mejia Bustamante

Veronica Mejia Bustamante

Vice President, JP Morgan | New York City, New York, 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

Contact Veronica Mejia Bustamante
Veena Mendiratta

Veena Mendiratta

Adjunct Professor, Northwestern University | Research Leader, Nokia Bell Labs (retired 2020)

Job Description: Faculty member in the MS in Data Analytics (MSiA) program, student advisor. Independent researcher in network reliability and analytics; and a technology advisor, mentor and speaker.
Other Positions: At Nokia Bell Labs and its earlier variants (AT&T, Lucent, Alcatel-Lucent) for 36 years where her work focused on the reliability and performance analysis and design of telecom networks. Research interests include system and network dependability analysis, software reliability engineering, network resiliency, telecom data analytics, and data visualization and visual analytics.

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: Anomaly Detection in Wireless Networks / Undergraduate math majors and beyond
Possible Lecture Topic and Audience: What can we learn from software failure data? / General audience (calculus experience and experience with proofs not required!)
Possible Lecture Topic and Audience: Reliability Models for Fault-Tolerant Systems / Undergraduate math majors and beyond
Possible Lecture Topic and Audience: Data Anonymization Concepts and Techniques / Undergraduate math majors and beyond

Contact Veena Mendiratta
Cleve Moler

Cleve Moler

Founder and Chief Mathematician, MathWorks | Natick, MA, U.S.

Job Description: World's first MATLAB Programmer
Other Positions: Chairman, Computer Science and Professor, Mathematics, Univ. New Mexico

Education: B.S. Mathematics, Caltech / Ph.D. Mathematics, Stanford

Possible Lecture Topic and Audience: Matrices in Action / General audience
Possible Lecture Topic and Audience: Evolution of MATLAB / General audience

Contact Cleve Moler
Helen Moore

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

Contact Helen Moore
Mechie Nkengla

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

Contact Mechie Nkengla
Jacqueline Nolis

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

Contact Jacqueline Nolis
John Parkinson

John Parkinson

Senior Manager, Retirement, Bimbo Bakeries USA | Philadelphia, Pennsylvania, U.S.

Job Description: Manage pension, 401k and executive retirement plans for USA's largest bakery.
Other Positions: Principal, Savitz Organization

Education: B.A. Mathematics, B.A. Economics / Associate of the Society of Actuaries

Possible Lecture Topic and Audience: "Do You Want To Be An Actuary" / Undergraduate math majors and beyond

Geographical Constraints: Prefer East Coast

Contact John Parkinson
Elisa Rosales

Elisa Rosales

Senior Data Analyst, UMass Memorial Health Care | Worcester, Massachusetts, U.S.

Job Description: Deploy data analyses, reports and quality improvement projects on behalf of the Managed Care Network and the Accountable Care Organization.
Other Positions: Application Analyst at UMass Memorial Health Care

Education: B.S. Mathematics / M.S. Applied Statistics

Possible Lecture Topic and Audience: Healthcare analytics and population health / General audience

Contact Elisa Rosales
Bonita Saunders

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

Contact Bonita Saunders
Mark S. Squillante

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 stochastic systems.
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 INFORMS, ACM, IEEE, AAIA

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.

Contact Mark S. Squillante
Jean Steiner

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.

Contact Jean Steiner
Sumanth Swaminathan

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!)

Contact Sumanth Swaminathan
Christopher Teixeira

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

Contact Christopher Teixeira
Rob Van Kirk

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.

Contact Rob Van Kirk
Stefan Wild

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

Contact Stefan Wild
Bryan Williams

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!)

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Carol Woodward

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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