Distinguished Professor of Economics and Mathematics at the University of California at Irvine
He also directs the Institute for Mathematical Behavioral Sciences. His 2001 election to the NAS carries the citation “Saari has been instrumental in applying chaos theory and mathematical principles to explain voting outcomes, galaxy formation, and economic dynamics. He showed that much accepted wisdom about elections is highly flawed. He also elucidated some of the complex considerations that need to be factored into economic analyses.” His broad interests, and especially his strengths in the behavioral sciences and in complexity, will help the BMSA as it explores topics related to complex systems, risk, and social sciences. He recently finished a term on the Mathematical Sciences Education Board..
Douglas N. Arnold is the McKnight Presidential Professor of Mathematics at the University of Minnesota. His research is focused mostly in numerical analysis, partial differential equations, mechanics, and the interplay between these fields. He was a plenary speaker at the International Congress of Mathematicians in 2002 and a Guggenheim fellow in 2008, and is a fellow of SIAM, AMS, and AAAS, and a foreign member of the Norwegian Academy of Science and Letters. In 2009-10, he was President of the Society for Industrial and Applied Mathematics (SIAM), the largest applied mathematics and computational science professional organization in the world. From 2001 to 2008 he directed the Institute for Mathematics and its Applications at the University of Minnesota, a leading interdisciplinary mathematical research institute.
Gerald G. Brown, Distinguished Professor of Operations Research at the Naval Postgraduate School
He has taught and conducted basic and applied research in optimization theory and optimization-based decision support since 1973, earning awards for both outstanding teaching and research. His military research has been applied by every uniformed service, in areas ranging from strategic nuclear targeting to capital planning. Prof. Brown has been awarded the Rist Prize for military operations research and has been credited with guiding investments of more than a trillion dollars. He has designed and implemented decision support software currently used by two-thirds of the Fortune 50 companies, in areas ranging from vehicle routing to supply-chain optimization. His research appears in scores of open-literature publications and classified reports, many of which are seminal references in the field. He is a member of the National Academy of Engineering, a Fellow of the Institute for Operations Research and Management Science, and a founding director of Insight, Inc., the leading provider of strategic supply-chain optimization-based decision support tools to the private sector.
L. Anthony Cox, Jr., is president of Cox Associates, Inc., a consulting firm specializing in wireless and optical network design and optimization software tools, customer data mining and predictive modeling, and decision and risk analysis technologies. Dr. Cox has a PhD in risk analysis and an S.M. in operations research, both from MIT’s Department of Electrical Engineering and Computer Science. Prior to starting Cox Associates in 1986, he consulted in risk analysis, economics and statistics, operations research, and artificial intelligence at Arthur D. Little, Inc., in Cambridge, Massachusetts. From 1987 to 1996, Dr. Cox managed applied research and high-technology product development efforts for US WEST Advanced Technologies in Boulder, Colorado, where he was senior director of advanced communications research, business and engineering modeling, and network architectures. He is currently an honorary full professor of mathematics at the University of Colorado at Denver, where he lectures on topics in biomathematics, health risk modeling, computational statistics, and machine learning. Dr. Cox is also on the faculties of the Center for Computational Mathematics and the Center for Computational Biology at the University of Colorado at Denver and is clinical professor of preventive medicine and biometrics at the University of Colorado Health Sciences Center, where he teaches and guides graduate research on uncertainty analysis and causation in epidemiological studies. He is on the editorial board of Risk Analysis: An International Journal and is co-editor of the Journal of Heuristics. Dr. Cox was elected to the New York Academy of Sciences in 1992 and to the National Academy of Engineering in 2012, and was made a lifetime fellow of the Society for Risk Analysis in 1993. In 1994, he was a recipient of the Operations Research Society of America’s prestigious ORSA prize for the best real-world applications of operations research having profound business impact. In addition to hands-on experience and professional activities in telecommunications decision and risk analysis, operations research, artificial intelligence, and applied statistics, Dr. Cox has authored and co-authored more than 100 journal articles and book chapters on advanced aspects of these fields. He holds more than a dozen U.S. and international patents on applications of network optimization, speech recognition, and signal processing technologies in telecommunications.
Constantine Gatsonis, Brown University
Dr. Gatsonis joined Brown University in 1995 and became the founding Director of the Center for Statistical Sciences. He is a leading authority on the design and analysis of clinical trials of diagnostic and screening modalities and has extensive involvement in methodologic research in medical technology assessment and in health services and outcomes research. He is Group Statistician of the American College of Radiology Imaging Network (ACRIN), an NCI-funded collaborative group conducting multi-center studies of diagnostic imaging and image-guided therapy for cancer. In his ACRIN work, Dr. Gatsonis is the chief statistician of the Digital Mammography Imaging Screening Trial (a national study comparing digital to film mammography) and is also the chief statistician for ACRIN’s arm of the National Lung Screening Trial (NLST). Dr Gatsonis was the lead statistician of the International Breast MRI Consortium and of the Radiologic Diagnostic Oncology Group (RDOG). He is the founding editor-in-chief of Health Services and Outcomes Research Methodology and serves as a deputy editor of Academic Radiology and a member of the editorial board of Clinical Trials. Dr Gatsonis is an elected Fellow of the American Statistical Association and of the Association for Health Services Research.
Mark 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 was recently elected as 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.
Darryll Hendricks, UBS Investment Bank
Dr. Hendricks is Global Head of Risk Methodology at UBS Investment Bank and a former senior staff member of the Federal Reserve Bank of New York. He joined UBS Investment Bank late in 2005 as Managing Director and Global Head of Quantitative Risk Control after 13 years at the Federal Reserve Bank of New York, where he rose to the position of Senior Vice President in bank supervision. In that latter capacity, he was also a prime representative of the U.S. central banking community to the Basel Committee on Banking Supervision at the Bank for International Settlements, which has instituted risk-based protocols for bank regulation worldwide over the past decade. He also served on the Basel Committee on Payment and Settlement Systems. Dr. Hendricks is a leading figure in risk-based banking regulation and in financial risk management more generally. He holds a Master in Public Policy from the Kennedy School of Government and a PhD in public policy from Harvard University.
Bryna Kra is the Sarah Rebecca Roland Professor of mathematics at Northwestern University. She works in dynamical systems and ergodic theory, and uses dynamical methods to address problems in number theory und combinatorics. She graduated with a bachelor's degree from Harvard University in 1988, and obtained her Ph.D. from Stanford University in 1995. She held postdoctoral positions at the Hebrew University in Jerusalem, the University of Michigan, the IHES, and Ohio State University before joining the mathematics faculty at Pennsylvania State University as an assistant professor. Since 2004, Prof. Kra has been a professor of mathematics at Northwestern University, where she was department chair from 2009 to 2012. In 2006, Kra was an invited speaker at the International Congress of Mathematicians in Madrid and was named a Centennial Fellow of the American Mathematical Society (AMS) the same year. In 2012 she became a fellow of the AMS, and since 2010 she has been a member of the executive committee of the AMS.
Andrew W. Lo, Charles E. and Susan T. Harris Professor of Finance at the MIT Sloan School of Management and director of the MIT Laboratory for Financial Engineering
He received his PhD in economics from Harvard University in 1984. Before joining MIT's finance faculty in 1988, he taught at the University of Pennsylvania's Wharton School as the W.P. Carey Assistant Professor of Finance from 1984 to 1987, and as the W.P. Carey Associate Professor of Finance from 1987 to 1988. He has published numerous articles in finance and economics journals, and has authored several books including The Econometrics of Financial Markets, A Non-Random Walk Down Wall Street, Hedge Funds: An Analytic Perspective, and The Evolution of Technical Analysis. He is currently co-editor of the Annual Review of Financial Economics and an associate editor of the Financial Analysts Journal, the Journal of Portfolio Management, and the Journal of Computational Finance. His awards include the Alfred P. Sloan Foundation Fellowship, the Paul A. Samuelson Award, the American Association for Individual Investors Award, the Graham and Dodd Award, the 2001 IAFE-SunGard Financial Engineer of the Year award, a Guggenheim Fellowship, the CFA Institute's James R. Vertin Award, the 2010 Harry M. Markowitz Award, and awards for teaching excellence from both Wharton and MIT. Andy was a keynote speaker at the Board’s 2009 workshop on technical challenges of regulation of systemic financial risk.
David Maier, Portland State University
Dr. 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).
William A. Massey is the Edwin S. Wiley professor of Operations Research and Financial Engineering at Princeton University. He spent 20 years working at Bell Laboratories in the Mathematical Sciences Research Center (1981-2001). He has over 60 publications in the fields of queueing theory, stochastic networks, and applied probability. Dr. Massey was a 2012 Inaugural fellow of the American Mathematical Society (AMS) and is a Fellow of the Institute for Operations Research and the Management Sciences (INFORMS). Among his many awards, he received the 2009 Martin Luther King Jr. Journey Award at Princeton University for efforts to support under-represented minorities in the fields of science and technology and in 2008 won the Black Engineer of the Year award for College Level Promotion of Education. In 2006, Prof. Massey was awarded the Blackwell-Tapia Prize for significant and sustained contributions to research in field of expertise. Massey has served as a Member-at-Large to the AMS Council and on the Board of Trustees for the Institute for Pure and Applied Mathematics, and he was a founder and organizer of the Conference for African-American Researchers in the Mathematical Sciences.
Juan C. Meza, University of California, Merced
Dr. Meza is Dean of the School of Natural Science at the University of California, Merced, having taken that position in September, 2011. Previously, he served as the head and Senior Scientist of the High Performance Computing Research Department at E. O. Lawrence Berkeley National Laboratory, where he worked in computational science and mathematics, computer science and future technologies, scientific data management, visualization, and numerical algorithms and application development. In that position, he was also responsible for developing short- and long-term R&D plans and proposing new technology directions. His current research interests include nonlinear optimization with an emphasis on methods for parallel computing. He has also worked on various scientific and engineering applications including scalable methods for nanoscience , power grid reliability, molecular conformation problems, optimal design of chemical vapor deposition furnaces, and semiconductor device modeling. Prior to joining Lawrence Berkeley National Laboratory, Dr. Meza held the position of Distinguished Member of the Technical Staff at Sandia National Laboratories and served as the manager of the Computational Sciences and Mathematics Research department. He was recently named to Hispanic Business magazine’s Top 100 Influentials in the area of science. In addition, he has been elected a Fellow of the AAAS and was the 2008 recipient of the Blackwell-Tapia Prize and the SACNAS Distinguished Scientist Award. He was also a member of the team that won the 2008 ACM Gordon Bell Award for Algorithm Innovation. Dr. Meza has served on numerous external committees including the DOE’s Advanced Scientific Computing Advisory Committee; the Human Resources Advisory Committee for the Mathematical Sciences Research Institute; the boards of trustees for the Institute for Pure and Applied Mathematics and SIAM; the Board of Governors for the Institute for Mathematics and its Applications; and the External Advisory Committee for the National Partnership for Advanced Computational Infrastructure.
John W. Morgan, Stony Brook University
Dr. Morgan is Director of the Simons Center for Geometry and Physics at SUNY-Stony Brook. He received his BA and PhD in mathematics from Rice University in 1968 and 1969, respectively. He was an instructor at Princeton University from 1969 to 1972, and an assistant professor at MIT from 1972 to 1974, and then on the faculty at Columbia University from 1974 until July of 2009, when he moved to Stony Brook University to become the first director of the Simons Center for Geometry and Physics. Dr. Morgan has been a Visiting Professor at Harvard University, Stanford University, The Université de Paris, The Mathematical Sciences Research Institute, the Institute for Advanced Study, and The Institut des Hautes Etudes Scientifiques. He is an editor of the Journal of the American Mathematical Society and Geometry and Topology. He was elected a member of the National Academy of Sciences in 2009.
Claudia Neuhauser, University of Minnesota
Dr. Neuhauser is Director of the University of Minnesota Informatics Institute and professor in the Department of Ecology, Evolution and Behavior, the Department of Biochemistry, Molecular Biology, and Biophysics, and the Department of Computer Science and Engineering at the University of Minnesota. She also directs the graduate program in Biomedical Informatics and Computational Biology. Prior to her current position, she spent more than five years as Vice Chancellor for Academic Affairs and Student Development at the University of Minnesota Rochester, where she was responsible for the design and implementation of academic programs and administrative processes on the newly established campus. She received her PhD in mathematics from Cornell University after completing a diploma in mathematics at the university of Heidelberg, Germany. Dr. Neuhauser was on the faculty of the University of Southern California, the University of Wisconsin, Madison, the University of Minnesota, Twin Cities, and the University of California, Davis. Dr. Neuhauser’s work on spatial stochastic processes centers on the development of mathematical models and statistical tools in biomedicine, ecology, and evolution.
Fred S. Roberts, professor in the Department of Mathematics at Rutgers University
Dr. Roberts is a professor in the Department of Mathematics at Rutgers University; Director of Department of Homeland Security University Center of Excellence for Command, Control and Interoperability and Advanced Data Analysis; Chair of the Rutgers University Homeland Security Research Initiative and Director Emeritus and Special Advisor of the Center for Discrete Mathematics and Theoretical Computer Science. He is a member of Rutgers’ Graduate Faculties in mathematics, operations research, computer science, computational molecular biology, computational biology and molecular biophysics, education, and industrial and systems engineering.
Carl P. Simon, Professor of Mathematics, Economics, Complex Systems and Public Policy at The University of Michigan. He received his Ph.D. in Mathematics from Northwestern University in 1970. He was the founding Director of the UM Center for the Study of Complex Systems (1999-2009) and the Associate Director for Social Science and Policy of the Michigan Memorial Phoenix Energy Institute. He is currently Director of the U-M Science and Technology Policy Program. His research interests center around the theory and applications of dynamical systems. He has applied dynamic modeling to the spread of AIDS (in particular the role of primary infection), staph infection, malaria and gonorrhea, and to the evolution of ecological and economic systems. He is coauthor of the text Mathematics for Economists. His research team won the 1995 Howard M. Temin Award in Epidemiology for Scientific Excellence in the Fight against HIV/AIDS and the 2005 Kenneth Rothman Epidemiology Prize for paper of the year in Epidemiology. He was named the U-M LS&A Distinguished Senior Lecturer for 2007 and received the U-M Distinguished Faculty Achievement Award in 2012.
Katepalli Sreenivasan (NAS/NAE) is President of Polytechnic Institute of NYU and Dean of Engineering at NYU. He is also a University Professor and Professor of Physics (Faculty of Arts and Science) and Mathematics (Courant Institute of Mathematical Sciences.) Dr. Sreenivasan came to NYU from the International Centre for Theoretical Physics (Trieste, Italy) where he was Director, and the University of Maryland, where he was Distinguished University Professor and Professor of Physics and Engineering, and Director of the Institute for Physical Science and Technology. In addition to his election to the NAS and NAE, Dr. Sreenivasan is a Fellow of the American Academy of Arts and Sciences. An active researcher, Dr. Sreenivasan’s research is in the areas of turbulence, complex fluids, cryogenic helium, and nonlinear dynamics.
Eva Tardos, Cornell University
Dr. Tardos is the Jacob Gould Schurman Professor of Computer Science at Cornell University, and was department chair 2006-2010. She received her BA and PhD from Eötvös University in Budapest. She had a Humboldt Fellowship at the University of Bonn, a postdoctoral fellowship at the Mathematical Sciences Research Institute in Berkeley, a postdoctoral fellowship from the Hungarian Academy of Sciences at Eötvös University, and was a visiting professor at Department of Mathematics at MIT 1987-89 before joining the faculty at Cornell. She has won the Fulkerson Prize, awarded jointly by the Mathematical Programming Society and the American Mathematical Society, and the Dantzig prize awarded jointly by the Mathematical Programming Society and the Society for Industrial and Applied Mathematics. She was awarded an Alfred P. Sloan Research Fellowship (1991-93), an NSF Presidential Young Investigator Award (1991-96), the David and Lucille Packard Foundation Fellowship in Science and Engineering (1990-95), and a Guggenheim Fellowship (1999-2000). She is a Fellow of ACM, INFORMS, and SIAM, and a member of the American Academy of Arts and Sciences. Dr. Tardos’s research focuses on algorithms and games on networks. She is most known for her work on network-flow algorithms, approximation algorithms, and quantifying the efficiency of selfish routing. Dr. Tardos was elected a member of the National Academy of Engineering in 2007.