Alexei Borodin joined MIT as Professor of Mathematics in 2010. Borodin studies problems on the interface of representation theory and probability that link to combinatorics, random matrix theory, and integrable systems. He received his PhD from the University of Pennsylvania in 2001, then held a long-term research fellowship of the Clay Mathematics Institute. He was a Professor at Caltech from 2003 to 2010. He was awarded the Prize of the Moscow Mathematical Society in 2003 and the Prize of the European Mathematical Society in 2008.
Michael P. Brenner is the Glover Professor of Applied Mathematics and Applied Physics and a Harvard College Professor in the School of Engineering and Applied Sciences at Harvard University. His research uses methods and ideas of applied mathematics to address a variety of problems in science and engineering, ranging from understanding the shapes of whale flippers, bird beaks, and fungal spores to developing ideas for creating materials that spontaneously assemble themselves. Brenner did his undergraduate work at the University of Pennsylvania and received his PhD from the University of Chicago in 1994. Before moving to Harvard in 2001, he was a faculty member in the Department of Mathematics at MIT.
Emery N. Brown is the Edward Hood Taplin Professor of Medical Engineering and Computational Neuroscience at MIT, the Warren M. Zapol Professor of Anesthesia at Harvard Medical School and an anesthesiologist at Massachusetts General Hospital. His experimental research studies how anesthesia works. His statistics research develops point process, state-space and spectral analysis methods to characterize how the brain represents and transmits information. He served on the NIH BRAIN Initiative Working Group and is the recipient of an NIH Pioneer Award, the National Institute of Statistical Sciences Sacks Award, the American Society of Anesthesiologists Excellence in Research Award and a Guggenheim Fellowship in Applied Mathematics. He is a Fellow of the American Academy of Arts and Sciences and the National Academy of Inventors. He is a member of the National Academy of Medicine, National Academy of Sciences and National Academy of Engineering.
Robert Calderbank directs the Information Initiative at Duke where he is Professor of Computer Science, Mathematics and Electrical Engineering. Prior to joining Duke in 2010 as Dean of Natural Sciences he directed the Program in Applied and Computational Mathematics at Princeton. Before making the transition to academia Calderbank was Vice President for Research at AT&T. He is responsible for voiceband modem technology that was widely licensed and incorporated in over a billion devices, and for space-time coding technology that is incorporated in 3G and 4G standards. Calderbank was elected to the National Academy of Engineering in 2005 and was awarded the 2013 IEEE Hamming Medal. He earned his PhD in Mathematics from Caltech, an MSc from Oxford University and a BSc from Warwick University.
Emmanuel Candès is the Barnum-Simons Chair in Mathematics and Statistics and a Professor of Electrical Engineering (by courtesy) at Stanford University. He received his PhD in statistics from Stanford in 1998. His research interests include computational harmonic analysis, statistics, information theory, signal processing and mathematical optimization. He has received several awards including the Alan T. Waterman Award from NSF. He is an elected member of the National Academy of Sciences (2014) and of the American Academy of Arts and Sciences (2014). He has given over 60 plenary lectures at major international conferences including the International Congress of Mathematicians (2014).
Cecilia Clementi is Professor of Chemistry and Chemical and Biomolecular Engineering at Rice University, where she works on the theoretical and computational characterization of macromolecular dynamics. In particular, her research group is working on the development of new tools, combining theory, simulation and experiment to study protein systems at multiple length and time scales. Before joining the faculty at Rice University in 2001 she was a Burroughs Wellcome La Jolla Interfaces on Science postdoctoral fellow at UCSD. Her worked has been recognized with an NSF Career award (2004) and the Welch Foundation Norman Hackerman Award in Chemical Research (2009). Clementi received her B.S. in Physics from the University of Florence, and her M.Sc. and Ph.D. in Physics from the International School for Advanced Studies (SISSA).
Iain Couzin is Director of the Department of Collective Behavior, Max Planck Institute for Ornithology, and Professor, Department of Biology, University of Konstanz. He continues to oversee his lab at Princeton University, which he left in early 2015. His research focuses on collective behavior and self-organized pattern formation in a variety of biological systems, including fish schools, bird flocks, insect swarms, human crowds, and cellular networks. He is a member of the Faculty of 1000 Biology and in recognition of his research he was recipient of a Searle Scholar Award in 2008, the Mohammed Dahleh Award in 2009, Popular Science Magazines “Brilliant 10″ award in 2010, PopTech Science and Public Leadership award in 2011, National Geographic Emerging Explorer Award in 2012 and The Zoological Society of London Scientific Medal in 2013. He has a PhD in Biology from the University of Bath.
Cynthia Dwork, Distinguished Scientist at Microsoft Research, is renowned for placing privacy-preserving data analysis on a mathematically rigorous foundation. A cornerstone of this work is differential privacy, a strong privacy guarantee frequently permitting highly accurate data analysis. Dr. Dwork has also made seminal contributions in cryptography and distributed computing, and is a recipient of the Edsger W. Dijkstra Prize, recognizing some of her earliest work establishing the pillars on which every fault-tolerant system has been built for decades. She is a member of the National Academy of Engineering and a Fellow of the American Association for the Advancement of Science. She was elected to the National Academy of Sciences in 2014.
Jordan Ellenberg is the John D. MacArthur Professor of Mathematics at the University of Wisconsin at Madison, specializing in number theory and algebraic geometry, with related interests in algebraic topology, combinatorics, and data science. Ellenberg has held an NSF-CAREER grant, an Alfred P. Sloan Fellowship, and a Guggenheim Fellowship, and in 2013 he was named one of the inaugural class of Fellows of the American Mathematical Society. He is also a popularizer of mathematics; his journalism has appeared in the New York Times, the Wall Street Journal, the Washington Post, Wired, The Believer, and the Boston Globe, and is the author of the New York Times bestseller How Not To Be Wrong: The Power of Mathematical Thinking. (Photo courtesy of Mats Rudels.)
Peter Wilcox Jones is Professor of Mathematics at Yale University. His research interests include real, complex and Fourier analysis, singular integrals, potential theory, and dynamical systems. He is an elected member of the National Academy of Sciences (2008), the Royal Swedish Academy of Sciences (2008), and the American Academy of Arts and Sciences (1998). He gave a Plenary Address at the International Congress of Mathematicians in 2010. He completed his PhD at UCLA in 1978, and won the Salem Prize in 1981.
Michael Kearns is Professor and National Center Chair in Computer and Information Sciences at the University of Pennsylvania. He is the Founding Co-Director of the Warren Center for Network and Data Sciences, and the Founding Director of Penn’s Networked and Social Systems Engineering (NETS) undergraduate program. Kearns’s research covers machine learning, algorithmic game theory, computational social science, and computational finance. He received degrees from U.C. Berkeley in computer science and math and his PhD in computer science from Harvard. Before joining the Penn faculty in 2002, he was head of the AI research department at AT&T/Bell Labs. Kearns is a Fellow of the American Academy of Arts and Sciences, the Association for Computing Machinery, and the Association for the Advancement of Artificial Intelligence.
Yann LeCun is Director of AI Research at Facebook and Silver Professor of Computer Science and Neural Science at the Courant Institute of Mathematical Sciences. He is also the founding director of NYU’s Center for Data Science, and is affiliated with the Center for Neural Science and Department of Electrical and Computer Engineering. He received a PhD in Computer Science from Université Pierre et Marie Curie (Paris). After a postdoc at the University of Toronto, he joined AT&T Bell Laboratories. He became head of the Image Processing Research Department at AT&T Labs-Research in 1996, and joined NYU in 2003. His current interests include machine learning, computer vision, pattern recognition, mobile robotics, and computational neuroscience. In late 2013, LeCun became Director of AI Research at Facebook. He remains on the NYU Faculty on a part-time basis.
David Levermore is a Professor at the University of Maryland, College Park in both the Department of Mathematics and the Institute for Physical Science and Technology. After receiving his PhD in mathematics from NYU in 1982, Levermore spent six years at Lawrence Livermore National Laboratory followed by 12 years at the University of Arizona. He served on the Board of Mathematical Sciences and Applications from 2004-2012, including six years as Chair. He also served as chair of 2010 Committee of Visitors, Division of Mathematical Sciences, NSF. Levermore gave an Invited Address at the 2006 International Congress of Mathematics in Madrid.
Assaf Naor is Professor of Mathematics at Princeton University (formerly at the Courant Institute of Mathematical Sciences of New York University). He conducts research on the interface of analysis and geometry, with emphasis on discovering new structural aspects of metric spaces and harnessing this information to various applications, ranging from functional analysis and Banach space theory to harmonic analysis, probability theory, group theory and approximation algorithms.
Pablo A. Parrilo is a Professor of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology, and Associate Director of the Laboratory for Information and Decision Systems (LIDS). His research interests include systems and control theory, mathematical optimization, and computational algebraic geometry. Prof. Parrilo has received several distinctions, including the Donald P. Eckman Award, the SIAM SIAG/CST Prize, the IEEE Antonio Ruberti Young Researcher Prize, and the INFORMS Farkas Prize. He received a PhD in Control and Dynamical Systems from the California Institute of Technology.
Terence Tao is a Professor of Mathematics and James and Carol Collins Chair at UCLA. Tao’s areas of research include harmonic analysis, PDE, combinatorics, and number theory. He has received a number of awards, including the Fields Medal in 2006, the MacArthur Fellowship in 2007, and the Crafoord prize in 2012. Tao is a Fellow of the Royal Society, Australian Academy of Sciences (corresponding member), National Academy of Sciences (foreign member), and American Academy of Arts and Sciences.
Amie Wilkinson is a Professor of Mathematics at the University of Chicago working in ergodic theory and smooth dynamical systems. Wilkinson was the recipient of the 2011 Satter Prize in Mathematics. She gave an invited talk at the International Congress of Mathematicians 2010 in Hyderabad. In 2013 she became a fellow of the AMS.