Speaker Profiles

Speaker Profiles

Aaron Arnoldsen

Aaron Arnoldsen

Global Demand & Supply Management Technology Director – Pricing, Planning, & Inventory, Nike Inc

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 in the real world / Undergraduate math majors and beyond

Contact Aaron Arnoldsen

Chris Bemis

Chris Bemis

Head of Quantitative Analysis and Research, Whitebox Advisors

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   /   PhD 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

Availability Constraints: Unavailable Dec 15-Jan15

Contact Chris Bemis

Simone Bianco

Simone Bianco

Research Staff Member, IBM Research

Education: BS, Physics and Astrophysics   /   MS, Physics   /   PhD, 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

Availability Constraints: Unavailable September - December for paternity leave

Contact Simone Bianco

Kerisha Burke

Kerisha Burke

Category Management Analyst, MRO & Chemicals and Gases, Phillips 66

Other Positions: Global Strategy and Freight Trading Analyst at P66

Education: B.S. in Mathematics

Possible Lecture Topic and Audience: Optimization Modeling / Undergraduate math majors and beyond
Possible Lecture Topic and Audience: Global Trade Flow Analytics / Undergraduate math majors and beyond
Possible Lecture Topic and Audience: Cost Model & Analytics / Undergraduate math majors and beyond

Contact Kerisha Burke

Allen Butler

Allen Butler

President & CEO, Daniel H. Wagner Associates, Inc.

Job Description: Management and Technical

Education: B.A. Mathematics   /   M.A. Mathematics   /   PhD in Mathematics   /   INFORMS Fellow, INFORMS Board VP of Practice

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


Contact Allen Butler

Joe Callender

Joe Callender

Executive Director, EY

Job Description: Leader of the quantitative survey practice
Other Positions: Research Fellow at LMI

Education: BA., Mathematics   /   M.S. in Applied Mathematics

Possible Lecture Topic and Audience: Business applications of mathematics / Undergraduate math majors and beyond

Contact Joe Callender

Carolyn Cho

Carolyn Cho

Director / Sr Principal Scientist, Merck Research Laboratories

Job Description: Immunology Pharmacometrics Therapeutic Area Lead
Other Positions: Director of Systems Biology Target Validation, Pfizer Research Technology Center

Education: B Sc (honors) Mathematics-Physics, joint   /   M Sc Physics   /   PhD Biological Physics
Other information: Postdoctoral Fellow, Molecular Biology, Princeton University

Possible Lecture Topic and Audience: Mathematical modleing 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

Job Description: Her work focuses on developing and analyzing mathematical, computational, and statistical models for the spread of infectious diseases, social contact networks, and global dynamics. Most recently, she has been investigating 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 Duenez-Guzman

Senior Research Engineer, DeepMind

Job Description: Integrating 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   /   PhD 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!)
Contact Edgar Duenez-Guzman


Natalie Durgin

Natalie Durgin

Senior Data Scientist, Spiceworks 

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!)

Contact Natalie Durgin

Berton Earnshaw

Berton Earnshaw

Senior Director, Data Science Research, Recursion Pharmaceuticals

Job Description: Lead research team in applying machine learning to drug discovery and development
Other Positions: Adjunct Professor, Mathematics, University of Utah
Education: BS Mathematics, Brigham Young University   /   MS Mathematics, Brigham Young University   /   PhD 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

Other Positions: Statistician, Neptune and Company, Inc.

Education: B.S. in Mathematics   /   M.S. in Mathematics, M.S. in Statistics   /   PhD 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

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   /   PhD. 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

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)   /   PhD 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

SVP of Engineering, HeartFlow

Job Description: Driving technology development, product development and research
Other Positions: Principal Research Scientist, Siemens

Education: BS Electrical Engineering   /   PhD Cognitive and Neural Systems   /   AIMBE, IEEE

Possible Lecture Topic and Audience: Cardiovascular modeling and simulation, image segmentation, medical image analysis, clinical translation of research / Computer science, biomedical engineering, electrical engineering, clinical research

Contact Leo Grady

Genetha Gray

Genetha Gray

Lead People Research Scientist, Salesforce

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)   /   PhD 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

Availability Constraints: Unavailable for most of November

Contact Genetha Gray

Gary Green

Gary Green

Retiree Casual, The Aerospace Corporation

Job Description: I have held several positions at Aerospace, starting as a numerical analyst on a massive program used to model launch vehicles. I moved into program review, overseeing algorithm development and its implementing software design for both launch vehicles and spacecraft. I then changed focus, addressing satellite visibility and proximity problems, determining access to ground targets by space borne sensors, ground observation windows for orbiting objects, and helping design the orbits for military space systems, then selecting strategies for injecting new spacecraft into constellations. I also developed software used to predict and avoid collisions in space and tested DoD software performing the same function. Finally, I headed a group that addressed location problems, including determining the orbits of space objects and finding locations of objects on the earth surface. I have also investigated threats against military space systems.
Other Positions: Assistant Professor, California State College, Stanislaus

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

Possible Lecture Topic and Audience: Region Coverage from a Satellite, A Representative Industrial Problem / Undergraduates with limited linear algebra and calculus
Possible Lecture Topic and Audience: Satellite System Evaluation, A Representative Industrial Problem / Undergraduates with limited linear algebra and calculus
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: I will travel within the Southern California area without charge to student chapters and institutions

Contact Gary Green

Dirk Hartmann

Dirk Hartmann

Project Manager, Siemens AG

Job Description: I am an 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. My experience covers research, innovation, and development project oriented responsible positions. Corresponding innovations were showcased at many top-level Siemens innovation events including the Siemens innovation day and the annual shareholder meeting.
Other Positions: Head of Core Technology Initiative Simulation at Siemens AG

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: 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

Contact Dirk Hartmann

Gerardo Hernández Correa

Gerardo Hernández Correa

Application Engineer Manager, MathWorks

Job Description: Senior Application Engineer at MathWorks
Other Positions:

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!)

Availability Constraints: Unavailable mid Nov-Feb
Geographical Constraints: I travel internationally for work and may be able to visit some international Chapters during those trips (US, Canada, Latin America and Asia)

Contact Gerardo Hernández Correa

Marylesa Howard

Marylesa Howard

Supervisor II, Nevada National Security Site

Job Description: Specializes in image and signal processing in support of nuclear physics for the Department of Energy's National Nuclear Security Administration. My work focuses on developing 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

Availability Constraints: Unavailable December 2018-March 2019

Contact Marylesa Howard

Tasha R. Inniss

Tasha R. Inniss

Associate Provost for Research, Spelman College

Job Description: As a member of the Office of the Provost and Academic Affairs, Inniss 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!)

Availability Constraints: unavailable December & April-May

Contact Tasha R. Inniss

Sheldon Jacobson

Sheldon Jacobson

Founder Professor of Computer Science, University of Illinois at Urbana-Champaign

Job Description: Professor of Computer Science

Education: BSc in Mathematics   /   MSc in Mathematics   /   PhD 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: I abhor driving, so flying is preferred

Contact Sheldon Jacobson

Derek Kane

Derek Kane

Staff, DEKA Research and Development

Job Description: I provide analytic and statistical support for DEKA's projects.

Education: BS Mechanical Engineering   /   MS Mathematics   /   PhD Mathematics

Possible Lecture Topic and Audience: The need 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!)

Contact Derek Kane

Sarah Knepper

Sarah Knepper

Software Engineer, Intel Corporation

Job Description: Software engineer and scrum master responsible for the maintenance, development and performance optimization of Intel MKL and Intel ADL dense linear algebra functionality.

Education: B.A. in Computer Science and Theatre   /   M.S. in Computer Science   /   PhD 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

Contact Sarah Knepper

Bob LaBarre

Bob LaBarre

Principal Mathematician & Associate Director, System Dynamics & Optimization, United Technologies Reasearch Center

Job Description: Lead group of 15 Ph.D. researchers doing applied research for industrial concerns.
Other Positions: I've been with UTRC for 40 years, either doing the research or leading people who do the research. No other employers since I left graduate school.

Education: B.S. in Mathematics (University Scholar), Univ. of Connecticut, 1976   /   M.S. in Mathematics, Univ. of Connecticut, 1978   /   Ph.D. in Mathematics (part-time while working full-time), Univ. of Connecticut, 1987-1992.   /   Elected to the Connecticut Academy of Science and Engineering (CASE) in 2010. University of Connecticut Honors Program Distinguised Alumni Award, 2015
Other information: Adjunct faculty member for 20 years (RPI-Hartford, Uconn) Member of the Mathematical Sciences Advisory Boaed, WPI since 1999 Co-advised 2 industrial Ph.D. students (completed). 1 at UIUC, 1 at UMass.

Possible Lecture Topic and Audience: Linear Algebra from a Geometric Viewpoint: Aha moments in Numerical Computations. / Undergraduate mathematics and above
Possible Lecture Topic and Audience: Uncertainty Quantification through Polynomial Chaos: A simple Stochastic ODE / Undergraduate mathematics and above
Possible Lecture Topic and Audience: Industrial Mathematics: An Oxymoron or More Than you Know? / General Audience

Availability Constraints: August & September 2018 may be tough.

Contact Bob LaBarre

Aaron Luttman

Aaron Luttman

Manager, Diagnostic Research and Material Studies, Nevada National Security Site

Job Description: Research mathematician and manager of a team of 30 R&D scientists and engineers in nuclear security science
Other Positions: Technical Advisor, National Nuclear Security Administration Defense Programs, US Department of Energy

Education: B.S. Mathematics, Purdue University   /   M.S. Mathematics, University of Minnesota   /   PhD 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

Job Description: I investigate numerical algorithms and software (in the PETSc library, https://www.mcs.anl.gov/petsc) 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. I also lead community collaboration on the Extreme-scale Scientific Software Development Kit (xSDK, https://xsdk.info), which is working toward a software ecosystem for high-performance numerical libraries. In the IDEAS software productivity project (https://ideas-productivity.org), we are working to improve developer productivity and software sustainability, as key aspects of increasing overall scientific productivity.
Other Positions: I have worked in the Mathematics and Computer Science Division of Argonne National Laboratory in various capacities since my initial appointment in 1993, as a DOE Distinguished Postdoctoral Fellow.

Education: B.S. in Mathematics and Physics, Summa Cum Laude, Muhlenberg College, 1988   /   Ph.D. in Applied Mathematics, University of Virginia, 1993   /   SIAM Fellow, class of 2017

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 (my home) or Argonne National Laboratory (my employer). I would prefer to bundle other trips to other locations with other business travel, due to logistics challenges with my job and family.

Contact Lois Curfman McInnes

Veronica Mejia Bustamante

Veronica Mejia Bustamante

Vice President, JP Morgan

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

Research Leader, Nokia Bell Labs

Job Description: Applied research on telecom data analytics, architecting and modeling next generation communication networks for high performance and reliability.
Other Positions: At Bell Labs since 1984 which has been a part of several companies over the years due to splits, mergers, acquisitions - AT&T, Lucent Technologies, Alcatel-Lucent, and currently Nokia

Education: B.Tech in Engineering   /   PhD in Operations Research   /   Senior Member IEEE, Member INFORMS, Life Member SIAM, Adjunct Faculty Advisor for the MS in Data Analytics (MSiA) program at Northwestern University.
Other information: Invited judge at the COMAP sponsored Mathematical Competition in Modeling (MCM) 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

Contact Veena Mendiratta

George Mohler

George Mohler

Associate Professor, IUPUI

Job Description: Professor of Computer Science
Other Positions: Co-founder PredPol

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

Possible Lecture Topic and Audience: The mathematics of crime / predictive policing / Undergraduate math majors and beyond

Contact George Mohler

Cleve Moler

Cleve Moler

Founder and Chief Mathematician, MathWorks

Job Description: Computational Scientist, MATLAB Developer
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: Evolution of MATLAB / General audience
Possible Lecture Topic and Audience: The Singular Value Decomposition Saves the Universe / Undergraduate math majors and beyond

Contact Cleve Moler

Helen Moore

Helen Moore

Principal Scientist, AstraZeneca

Job Description: I fit mathematical models to drug concentration and tumor size data, and optimize combination regimens.
Other Positions: Modeler at Bristol-Myers Squibb

Education: BS in Mathematics   /   PhD in Mathematics   /   Fellow of SIAM
Other information: I spent the first 11 years after my PhD working in academia, before taking a job in industry in 2006.

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

Tanya Moore

Tanya Moore

Vice President of Mission Advancement, Goodwill of San Francisco, San Mateo, and Marin Counties, Inc.

Job Description: The Vice President of Mission Advancement (VP) determines strategy and direction for Goodwill's mission related initiatives. This role serves as the strategic core for enterprise-wide transformational projects, including the design of employee training, development and career pathways initiatives.
Other Positions: Adjunct Faculty, Presidio Graduate School and Chabot Community College

Education: BS in Mathematics, Spelman College   /   MSE in Mathematical Sciences, The Johns Hopkins University   /   PhD in Biostatistics, UC Berkeley
Other information:

Possible Lecture Topic and Audience: Why Mathematicians are Needed to Create Lasting Social Impact / General audience
Possible Lecture Topic and Audience: Finding Certainty in Randomness: My Journey in Mathematics / Mathematics graduate students and beyond
Possible Lecture Topic and Audience: What I’ve Learned From Math While Learning About Math / Undergraduate math majors and beyond

Contact Tanya Moore

Jacqueline Nolis

Jacqueline Nolis

Owner, Nolis, LLC

Job Description: Independent data science consultant
Other Positions: Director of Insights & Analytics at Lenati

Education: BS in Mathematical Sciences, Worcester Polytechnic Institute   /   MS in Applied Mathematics, Worcester Polytechnic Institute   /   PhD 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

Availability Constraints: Limited availability before Spring 2019
Geographical Constraints: Limited availability outside of Washington state

Contact Jacqueline Nolis

John Parkinson

John Parkinson

Senior Manager, Retirement, Bimbo Bakeries USA

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

Education: BA Mathematics, BA 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

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

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   /   PhD 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

Jean Steiner

Jean Steiner

Senior Director of Data and Insights, Skillshare

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

Chief Data Scientist, Revon Systems Inc

Job Description: I Direct the development of machine-learned health management applications that detect disease degeneration in patients with chronic illnesses. I also supervise clinical research, build and execute patient trials, and direct data analytics across Revon's product platform.
Other Positions: Technology Consultant at W.L. Gore & Associates

Education: BSE in Chemical Engineering   /   M.S. in Applied Mathematics   /   PhD 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

Job Description: Department Chief Engineer and Principal Data Scientist for the Model-based analytics department.
Other Positions: Senior Analytic Consultant at Epsilon

Education: BS in Mathematics   /   MS 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: I would prefer 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

Job Description: I 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

Availability Constraints: Unavailable from last week in February through first week in April; unavailable during June
Geographical Constraints: None, as long as travel expenses are covered.

Contact Rob Van Kirk

Stefan Wild

Stefan Wild

Computational Mathematician; Deputy Division Director, Argonne National Laboratory

Job Description: I develop, analyze, and apply algorithms to solve challenging scientific and engineering problems. I lead a great and talented group in applied mathematics, numerical software, and statistics.
Other Positions: Senior Fellow, Northwestern University

Education: B.S. Applied Mathematics   /   M.S. Applied Mathematics; M.S. Operations Research   /   PhD 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

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Bryan Williams

Bryan Williams

Scientist, SPAWAR Atlantic

Job Description: I 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

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

Availability Constraints: Unavailable Dec. 2018.
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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