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 Prizes by the Moscow Mathematical Society in 2003 and the European Mathematical Society in 2008. He was elected to the American Academy of Arts and Sciences in 2018.
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 McArthur Fellowship and 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).
Cynthia Dwork is the Gordon McKay Professor of Computer Science at Harvard’s Paulson School of Engineering and Applied Sciences. Formerly a Distinguished Scientist at Microsoft Research, Dwork 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.
Yann LeCun is VP and Chief AI Scientist at Facebook and Silver Professor at NYU affiliated with the Courant Institute and the Center for Data Science. He was the founding Director of Facebook AI Research and of the NYU Center for Data Science. He received a PhD in Computer Science from Université P&M Curie (Paris). After a postdoc at the University of Toronto, he joined AT&T Bell Labs, and became head of Image Processing Research at AT&T Labs in 1996. He joined NYU in 2003 and Facebook in 2013. His current interests include AI, machine learning, computer vision, mobile robotics, and computational neuroscience. He is a member of the National Academy of Engineering.
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.
Xihong Lin is the Henry Pickering Walcott Professor and Chair of the Department of Biostatistics, and Coordinating Director of the Program in Quantitative Genomics at Harvard T H Chan School of Public Health. Her research focuses on the development and application of statistical and computational methods to analyze high-throughput genetic and genomic data in epidemiological, environmental and clinical studies, and to analyze complex exposure and phenotype data in observational studies. Her methodological work was previously supported by the MERIT award from the National Cancer Institute (NCI), and is currently supported by an NCI Outstanding Investigator Award. Lin is a fellow of the American Statistical Association and the Institute of Mathematical Statistics, and an elected member of the International Statistical Institute. She has received the Presidents’ Award from the Committee of Presidents of Statistical Societies (COPSS), the COPSS FN David Award, and the Spiegelman award of the outstanding health statistician from the American Public Health Association. Lin earned her PhD in biostatistics from the University of Washington in 1994.
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 the Donald P. Eckman Award, the SIAM SIAG/CST Prize, the IEEE Antonio Ruberti Young Researcher Prize, and the INFORMS Farkas Prize. He became a SIAM fellow in 2018. 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.
Luca Trevisan is a professor of electrical engineering and computer sciences and of mathematics at UC Berkeley and a senior scientist at the Simons Institute for the Theory of Computing. Luca studied at the Sapienza University of Rome, was a postdoc at MIT and at DIMACS, and was on the faculty of Columbia University, UC Berkeley, and Stanford, before returning to Berkeley in 2014. Luca’s research is in theoretical computer science, and it is focused on computational complexity and graph algorithms.
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.