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2017-stephen-robinsonStephen M. Robinson (NAE), Chair, is Professor Emeritus in the Department of Industrial and Systems Engineering at the University of Wisconsin-Madison. In 2008, he was elected as a member of NAE Section 8 - Industrial, Manufacturing, and Operational Systems Engineering. His research is in the development of quantitative methods for making the best use of scarce resources, which is part of the broad category of operations research methods. He works particularly on solution methods for both optimization and equilibrium problems; his recent work has focused especially on the mathematical properties of solutions of variational conditions, considered as functions of the data appearing in those conditions. Dr. Robinson received the Ph.D. in Computer Science from the University of Wisconsin-Madison in 1971, and the degree of Doctor honoris causa from the University of Zürich, Switzerland, in 1996. He is author, co-author, or editor of seven books and more than 100 scientific research papers, and has directed numerous funded research projects. He served as president of the Institute for Operations Research and the Management Sciences (INFORMS) in 2014, and is a Fellow of INFORMS and of the Society for Industrial and Applied Mathematics (SIAM). Dr. Robinson currently serves on the National Academies' Report Review Committee and on the U. S. National Member Organization for the International Institute for Applied Systems Analysis (a committee of the NAS).
 2017-john-r-birgeJohn R. Birge is the Jerry W. and Carol Lee Levin Professor of Operations Management at the University of Chicago’s Booth School of Business. His expertise is in mathematical modeling of systems under uncertainty, especially for maximizing operational and financial goals using the methodologies of stochastic programming and large-scale optimization. His research has been supported by the NSF, the Ford Motor Company, General Motors Corporation, the National Institute of Justice, the Office of Naval Research, the Electric Power Research Institute, and Volkswagen of America. He has published widely and is the recipient of the Best Paper Award from the Japan Society for Industrial and Applied Mathematics, the Institute for Operations Research and the Management Sciences Fellows Award, and the Institute of Industrial Engineers Medallion Award. A member of the National Academy of Engineering, he is former dean of the Robert R. McCormick School of Engineering and Applied Sciences at Northwestern University, Prof. Birge has worked as a consultant for a variety of firms including the University of Michigan Hospitals, Deutsche Bank, Allstate Insurance Company, and Morgan Stanley, and he uses cases from these experiences in his teaching. He earned a bachelor’s degree in mathematics from Princeton University in 1977 and a master’s degree and Ph.D. in operations research from Stanford University in 1979 and 1980, respectively. He joined the Chicago Booth faculty in 2004.
 cherryW. Peter Cherry is an independent consultant. While serving previously as the chief analyst for the U.S. Army Future Combat Systems Program at Science Applications International Corporation (SAIC), he was responsible for analytic support to requirements analysis, performance assessment, and design trades. Dr. Cherry was the leader of the Integrated Simulation and Test Integrated Process Team, focusing on test and evaluation planning, the development of associated models and simulations, and the development of the Future Combat System of Systems Integration Laboratory. He had been a participant in the Future Combat Systems program since its inception, leading analysis and evaluation of concepts as a member of the Full Spectrum Team in the contract activities which preceded concept and technology development. Before joining SAIC, he spent over 30 years with Vector Research Incorporated and its successor, the Altarum Institute. His professional career began in the field of maritime operations research in the Department of National Defence in Canada. He left that organization to obtain a Ph.D. in operations research at the University of Michigan, where he specialized in stochastic processes. Since the completion of his studies at the University of Michigan, he has focused on the development and application of operations research in the national security domain, primarily in the field of land combat. He contributed to the development and fielding of many of the major systems currently employed by the Army, from the Patriot missile system to the Apache helicopter, as well as the command control and intelligence systems. In addition, he contributed to the creation of the Army’s Manpower Personnel and Human Factors and Training Program (MANPRINT) and to the Army’s Embedded Training Initiative. His recent research interests include peacekeeping operations and the development of transformational organizations and material. Cherry was a member of the Military Operations Research Society’s Board of Directors, chaired the Military Applications Society of the Operations Research Society of America, served on the National Academies Army Science Board and the Board on Army Science and Technology, and is an elected member of the National Academy of Engineering.
 2017-ronald-r-coifmanRonald R. Coifman (NAS) is the Phillips Professor of Math and Computer Science at Yale University. His research interests include nonlinear Fourier analysis, wavelet theory, singular integrals, numerical analysis and scattering theory, and real and complex analysis. He is also interested in new mathematical tools for efficient computation and transcriptions of physical data, as well as their applications to numerical analysis, feature extraction recognition, and denoising. He is currently developing analysis tools for spectrometric diagnostics and hyperspectral imaging. Dr. Coifman served on the BMSA Committee on the Analysis of Massive Data and is a current member of a Board on Earth Sciences and Resources (BESR) study committee on Models of the World. He is a recipient of the 1996 DARPA Sustained Excellence Award, the 1996 Connecticut Science Medal, the 1999 Pioneer Award of the International Society for Industrial and Applied Science, and the 1999 National Medal of Science. Dr. Coifman is a member of the American Academy of Arts and Sciences, the Connecticut Academy of Science and Engineering, and the National Academy of Sciences. He received his Ph.D. from the University of Geneva.
 chuDavid Chu is the President of the Institute for Defense Analyses, a non-profit focused on providing federally funded research and development on national security issues and challenges. Prior to his position at the IDA, he served in the US Army and at RAND, was Assistant Director of the Congressional Office for National Security and International Affairs, Director (later Assistant Secretary of Defense) for Program Analysis and Evaluation, and Under Secretary of Defense for Personnel and Readiness. Dr. Chu received his bachelor’s degree in economics and mathematics, as well as his doctorate in economics, from Yale University. He is a member of the Defense Science Board, a Fellow of the National Academy of Public Administration, and a recipient of the Department of Defense Medal for Distinguished Public Service with Gold Palm.
 curryJames (Jim) Curry is a Professor in the Applied Mathematics Department at the University of Colorado Boulder. Prior to his position at UCB, he was a Professor at Howard University and a Postdoctoral associate at the Massachusetts Institute of Technology, the University of Minnesota, and the Institut des Hautes Études Scientifiques in France. Dr. Curry’s primary research interests involve computational mathematics as well as nonlinear phenomena. He is also interested in dynamical systems and meteorology. Dr. Curry received his bachelor’s, master’s, and Ph.D. in mathematics from the University of California, Berkeley. He has served as a member of the Electorate Nominating Committee (Section of Mathematics, AAAS), the Society for Industrial and Applied Mathematics Membership and Education Committees, and the American Mathematical Society Committees on the Profession and Exemplary Mathematics Departments.
 2017-mark-l-greenMark L. Green is the Distinguished Research Professor in the Department of Mathematics at the University of California at Los Angeles. He received his B.S. from the Massachusetts Institute of Technology and his M.A. and Ph.D. from Princeton University. After teaching at the University of California at Berkeley and MIT, he came to UCLA as an assistant professor in 1975. He was a founding co-director and later Director of the NSF-funded Institute for Pure and Applied Mathematics. Dr. Green’s research has taken him into different areas of mathematics: several complex variables, differential geometry, commutative algebra, Hodge theory, and algebraic geometry. He received an Alfred P. Sloan fellowship, was an invited speaker at the International Congress of Mathematicians in Berlin in 1998 and gave the Chern Medal plenary laudation at the International Conference of Mathematicians in Seoul in 2014, and is a Fellow of the American Academy of Arts & Sciences, of the American Association for the Advancement of Science and of the American Mathematical Society. Prof. Green served as vice-chair of the high-profile BMSA study on The Mathematical Sciences in 2025, and served on the International Advisory Panel for the Canadian Long Range Planning Study for Mathematics.  He was part of the US Delegation to the General Assembly of the International Mathematical Union in Bangalore in 2010 and Chair of the Committee of Visitors for the Division of Mathematical Sciences at NSF in 2013.  He has served on the scientific boards of the Institute for Pure and Applied Mathematics, the Centre de Recherches Mathematiques and the Banff International Research Station, and was a Trustee of the American Mathematical Society.  He served on the Mathematical Advisory Panel for the exhibition “Man Ray: Human Equations” at the Phillips Collection in Washington, DC.  He serves on the Board of Governors of the group Transforming Postsecondary Education in Math and the Advisory Committee of the Association for Women in Mathematics.
2018-hillShawndra Hill is a senior researcher in the Computational Social Science Group at Microsoft Research NYC. Prior to joining Microsoft, she was on the faculty of the Operations and Information Management Department at the Wharton School of the University of Pennsylvania, where she was an Annenberg Public Policy Center Distinguished Research Fellow, a Wharton Customer Analytics Initiative Senior Fellow, and a core member of the Penn Social Media and Health Innovation Lab and the Warren Center for Network and Data Sciences. Generally, she studies data mining, machine learning, and statistical relational learning and their alignment with business problems. Specifically, she researches the value to companies of mining data on how consumers interact with each other on online platforms — for targeted marketing, advertising, health, and fraud detection purposes. Her current research focuses on the interactions between TV content and online behaviors. Her past and present industry partners include AT&T Labs Research, ClearForest, and Siemens Energy & Automation. Her research has been funded by the Office of Naval Research, Google, and the National Institutes of Health (NIH). Dr. Hill holds a B.S. in mathematics from Spelman College, a B.E.E. from the Georgia Institute of Technology, and a Ph.D. in information systems from NYU's Stern School of Business.
 2018-kavrakiLydia Kavraki (NAM) is the Noah Harding Professor of Computer Science, Bioengineering, Electrical and Computer Engineering, and Mechanical Engineering at Rice University. She received her B.A. in computer science from the University of Crete in Greece and her Ph.D. in computer science from Stanford University. Her research contributions are in physical algorithms and their applications in robotics (robot motion planning, hybrid systems, formal methods in robotics, assembly planning, micromanipulation, and flexible object manipulation), as well as in computational structural biology, translational bioinformatics, and biomedical informatics (modeling of proteins and biomolecular interactions, large-scale functional annotation of proteins, computer-assisted drug design, and the integration of biological and biomedical data for improving human health). Kavraki has authored more than 200 peer-reviewed journal and conference publications and is one of the authors of the widely used robotics textbook titled Principles of Robot Motion, published by MIT Press. Work in her group during the past five years has produced the Open Motion Planning Library (OMPL), an open-source library of motion planning algorithms. The library is heavily used in industry and in academia both for robotics and bioinformatics applications. Kavraki currently serves as an associate editor of the International Journal of Robotics Research, the ACM/IEEE Transactions on Computational Biology and Bioinformatics, the Computer Science Review, Big Data, Frontiers in Molecular Biosciences, and the Annual Reviews for Robotics, Control, and Autonomous Systems. She is also a member of the editorial advisory board of the Springer Tracts in Advanced Robotics and the new IEEE Letters in Robotics and Automation. Kavraki served as the program chair (2014) and as the general chair (2015) of “Robotics: Science and Systems,” the premier robotics conference. Kavraki is a fellow of ACM, a fellow of IEEE, a fellow of the American Association for the Advancement of Science (AAAS), a fellow of the Association for the Advancement of Artificial Intelligence (AAAI), a fellow of the American Institute for Medical and Biological Engineering (AIMBE), and a fellow of the World Technology Network (WTN).
 
2018-koldaTamara Kolda is a distinguished member of the technical staff at Sandia National Laboratories. She has led numerous projects in computational science and data analysis on topics in multilinear algebra and tensor decompositions, graph models and algorithms, data mining, optimization, nonlinear solvers, parallel computing, and the design of scientific software. Her work has been cited more than 13,000 times. Her work has received several honors, including a 2003 Presidential Early Career Award for Scientists and Engineers (PECASE), an R&D100 award, and three best paper prizes at international conferences. She was named a distinguished scientist of the Association for Computing Machinery (ACM) in 2011 and a fellow of the Society for Industrial and Applied Mathematics (SIAM) in 2015. She has given keynotes talks at a variety of meetings including the Joint Mathematics Meeting (JMM), the International Symposium on Mathematical Programming (ISMP), the SIAM Conference on Computational Science & Engineering (CS&E), the SIAM Annual Meeting, and the IEEE International Conference on Data Mining (ICDM). She is currently a member of the SIAM Board of Trustees and serves as associate editor for both the SIAM Journal on Scientific Computing (SISC) and SIAM Journal on Matrix Analysis and Applications (SIMAX). She is also the founding editor-in-chief for the new SIAM Journal on the Mathematics of Data Science (SIMODS).
 2017-joseph-a-langsamJoseph A. Langsam is a Policy Fellow in the Center for Financial Policy of the University of Maryland’s Smith School of Business, which he joined in 2010. He spent the previous 25 years at Morgan Stanley Dean Witter, where he was responsible for analytic research and the valuation of derivatives. Langsam received a Ph.D. in mathematics from the University of Michigan in 1982 and a Ph.D. in urban studies and economics from the Massachusetts Institute of Technology. Prior to joining Morgan Stanley Dean Witter, he was an assistant professor of mathematics at Case Western Reserve University. He is co-editor (with Jean-Pierre Fouque) of the landmark 2014 volume, Handbook on Systemic Risk.
 2017-david-maierDavid Maier is Maseeh Professor of Emerging Technologies at Portland State University. Prior to his current position, he was on the faculty at SUNY-Stony Brook and Oregon Graduate Institute. He has spent extended visits with INRIA, University of Wisconsin–Madison, Microsoft Research, and the National University of Singapore. He is the author of books on relational databases, logic programming, and object-oriented databases, as well as papers in database theory, object-oriented technology, scientific databases, and dataspace management. He is a recognized expert on the challenges of large-scale data in the sciences. He received an NSF Young Investigator Award in 1984 and was awarded the 1997 SIGMOD Innovations Award for his contributions in objects and databases. He is also an ACM Fellow and IEEE Senior Member. He holds a dual B.A. in Mathematics and in Computer Science from the University of Oregon (Honors College, 1974) and a PhD in Electrical Engineering and Computer Science from Princeton University (1978). 
 mcinnesLois Curfman McInnes is a senior computational scientist in the Mathematics and Computer Science Division of Argonne National Laboratory. Her research focuses on numerical algorithms and software for the parallel solution of large-scale scientific applications involving nonlinear partial differential equations in the PETSc library. Dr. McInnes co-leads the multi-institutional IDEAS productivity project, which is working to improve software productivity and sustainability—key elements of overall scientific productivity. She also co-leads work on the Extreme-scale Scientific Software Development Kit (xSDK), a collaboration toward an ecosystem of interoperable software developed by diverse, independent teams throughout the high-performance computing community. Dr. McInnes was named a SIAM Fellow in 2017. She won the 2015 SIAM/ACM Prize in Computational Science and Engineering and received an R&D 100 Award in 2009 (with collaborators); she also won an E.O. Lawrence Award in 2011 for outstanding contributions in research and development supporting DOE and its missions. She received a Ph.D. in Applied Mathematics from the University of Virginia in 1993 and a B.S. in Mathematics and Physics from Muhlenberg College in 1988. Dr. McInnes served as Chair (2015-16) and Program Director (2013-14) of the SIAM Activity Group on Computational Science and Engineering, and she currently serves on the editorial board of SIAM News and on the SIAM Education Committee.
2018-pipherJill Pipher is vice president for research at Brown University and Elisha Benjamin Andrews Professor of Mathematics. In 2018, she became president-elect of the American Mathematical Society. She was the founding director of the Institute for Computational and Experimental Research in Mathematics (ICERM), a National Science Foundation mathematics institute, from 2010 to 2016. Pipher obtained her B.A. in mathematics from UCLA in 1979 and her Ph.D. in mathematics from UCLA in 1985. She was a Dickson Instructor and assistant professor at the University of Chicago before joining the faculty of Brown as associate professor in 1989. Pipher’s research areas include harmonic analysis, partial differential equations, and lattice-based cryptography. She has frequently lectured for both specialist and general audiences at venues in the U.S. and abroad. In 2014, she was an invited speaker at the International Congress of Mathematicians. She has published many papers in her areas of expertise and has co-authored an undergraduate cryptography textbook. She jointly holds four patents related to the NTRU encryption algorithm. She was a co-founder of Ntru Cryptosystems, Inc., now part of Security Innovation, Inc. Pipher’s professional honors include an NSF postdoctoral fellowship, an NSF Presidential Young Investigator Award, and an Alfred P. Sloan Foundation fellowship. She is an inaugural fellow of the American Mathematical Society, served as president of the Association for Women in Mathematics from 2011 to 2013, and was a National Women’s History Month 2013 honoree. In 2015, she was elected to the American Academy of Arts and Sciences. 
 
 2017-elizabeth-a-thompsonElizabeth A. Thompson is Professor of Statistics at the University of Washington where she is also adjunct professor in the Department of Genome Sciences and of Biostatistics. Her research is in the development of methods for model-based likelihood inference from genetic data, particularly from data observed on large and complex pedigree structures both of humans and of other species, and including inference of coancestry of genome among individuals and among populations. She received a B.A. in mathematics (1970) and a Ph.D. in mathematical statistics (1974) from Cambridge University, UK. In 1974-5 she was a NATO/SRC postdoc in the Department of Genetics, Stanford University. From 1975-81 she was a Fellow of King’s College, Cambridge, and from 1981-5 was Fellow and Director of Studies in Mathematics at Newnham College, Cambridge. From 1976-1985 she was a university lecturer in the Department of Pure Mathematics and Mathematical Statistics, University of Cambridge. She joined the faculty of the University of Washington in December 1985. At the University of Washington, Dr. Thompson was chair of the department of statistics from 1989-94 and from 2011-14. Since 1999 she has been Director of an Interdisciplinary Certificate program in Statistical Genetics, and has chaired the steering committee for Ph.D. tracks in Statistical Genetics within Statistics and Biostatistics. A member of the National Academy of Sciences, Dr. Thompson is a recipient of a Doctor of Science degree from the University of Cambridge, the Jerome Sacks award for cross-disciplinary research from the National Institute for Statistical Science, the Weldon Prize for contributions to Biometric Science from Oxford University, UK, and of a Guggenheim fellowship. She is the President of the International Biometric Society for 2016 and 2017.
 tomlinClaire Tomlin is a Professor of Electrical Engineering and Computer Sciences and the Charles A. Desoer Chair in the College of Engineering at the University of California Berkeley. Prior to her position at Berkeley, she was a Professor and Vance D. and Arlene C. Coffman Faculty Scholar at Stanford University. Dr. Tomlin’s research interests focus on hybrid control systems, looking particularly at the applications in air traffic systems, robotics, and biology. She is also interested in algorithms for decentralized optimization and modeling and analyzing of biological cell networks. Dr. Tomlin received her master’s degree from the Imperial College in London and her Ph.D. from the University of California Berkeley. She has received the Tage Erlander Guest Professorship of the Swedish Research Council in 2009, a MacArthur Foundation Fellowship in 2006, and the Donald P. Eckman Award of the American Automatic Control Council in 2003.
 wallerLance Waller is Rollins Professor and Chair of the Department of Biostatistics and Bioinformatics in the Rollins School of Public Health at Emory University. He received a Ph.D. in Operations Research from Cornell University in 1992. Dr. Waller's research involves the development of statistical methods to analyze spatial and spatio-temporal patterns. Past research involves the assessment of spatial clustering of disease, linking spatial statistics and geographic information systems, statistical assessments of environmental justice, and hierarchical Bayesian methods for modeling small-area health statistics. Recent areas of interest include spatial point process methods in alcohol epidemiology, conservation biology, and hierarchical models in disease ecology. Dr. Waller was the recipient of the 2004 Abdel El-Shaarawi Young Researcher’s Award. Dr. Waller has served on multiple National Academies committees including the National Research Council Committee on the Review of Existing and Potential Standoff Explosives Detection Techniques, the Institute of Medicine Committee on the Utility of Proximity-based Herbicide Exposure Assessments in Epidemiologic Studies in Vietnam Veterans, the National Academies Committee To Assess Potential Health Effects from Exposures to PAVE PAWS Low-level Phased-array Radiofrequency Energy, and the National Academies Committee on Analysis Of Cancer Risks in Populations Near Nuclear Facilities: Phase 1. In addition, Dr. Waller served on the Committee on Applied and Theoretical Statistics from 2011-2017.
 2017-karen-wilcoxKaren E. Willcox is Director of the Institute for Computational Engineering and Sciences (ICES) and a Professor of Aerospace Engineering and Engineering Mechanics at the University of Texas at Austin. Prior to joining ICES in 2018, she spent 17 years as a professor at the Massachusetts Institute of Technology, where she served as the founding Co-Director of the MIT Center for Computational Engineering and the Associate Head of the MIT Department of Aeronautics and Astronautics. Prior to joining the MIT faculty, she worked at Boeing Phantom Works with the Blended-Wing-Body aircraft design group. Her research at MIT has produced scalable computational methods for design of next-generation engineered systems, with a particular focus on model reduction as a way to learn principled approximations from data and on multi-fidelity formulations to leverage multiple sources of uncertain information. She is also active in educational innovation, developing scalable network models that enable data-driven decisions in education. She is the recipient of a SIAM SIGEST paper award, two AIAA best paper awards, and several awards for both leadership and teaching. In 2017 she was appointed Member of the New Zealand Order of Merit (MNZM). She has served in leadership positions within AIAA and SIAM, including leadership roles in the SIAM Activity Group on Computational Science and Engineering and the AIAA Multidisciplinary Design Optimization Technical Committee. She is a Fellow of SIAM and Associate Fellow of AIAA.
 2017-david-yaoDavid Yao (NAE) is the Piyasombatkul Family Professor of Industrial Engineering and Operations Research at Columbia University. His teaching and research interests are in applied probability, stochastic networks and stochastic control/optimization, with applications in computer and communication networks, health care systems, production systems and supply chains, and related resource control and risk management issues. Prof. Yao is the founding chair of the Financial and Business Analytics Center, which is part of Columbia's Data Science Institute. He is the principal architect of several academic programs at Columbia, including the M.S. degree program in Financial Engineering. He is also the founding director of the Institute for Advanced Study at the City University of Hong Kong. Author of over 200 publications and three books, he has served on the editorial boards of several leading journals and holds eight U.S. patents in manufacturing operations and supply chain logistics. He has been a Guggenheim Fellow, a Fellow of the Institute for Electrical and Electronic Engineers and a Fellow of the Institute for Operations Research and the Management Sciences.