Nike Sun is a probability theorist who works as an associate professor of mathematics at the Massachusetts Institute of Technology, on leave from the department of statistics at the University of California, Berkeley. She won the Rollo Davidson Prize in 2017. Her research concerns phase transitions and the counting complexity of problems ranging from the Ising model in physics to the behavior of random instances of the Boolean satisfiability problem in computer science.
Sun graduated from Harvard University in 2009 with a bachelor's degree in mathematics and a master's degree in statistics, [1] [2] and spent a year studying for the Mathematical Tripos at the University of Cambridge [2] before completing her doctorate at Stanford University in 2014. Her dissertation, Gibbs measures and phase transitions on locally tree-like graphs, was supervised by Amir Dembo. [1] [2] [3]
After postdoctoral research at Microsoft Research in New England, at the Massachusetts Institute of Technology Mathematics Department, and as a Simons Fellow at the University of California, Berkeley, she joined the Berkeley faculty as an assistant professor in 2016. She moved to the Massachusetts Institute of Technology as an associate professor in 2018. [1] [2]
Sun was awarded the Rollo Davidson Prize, given annually to an early-career probability theorist, in 2017. The award citation credited her research (with Jian Ding and Allan Sly) proving the existence of a threshold density such that random k-satisfiability instances whose ratio of clauses to variables is below the threshold are almost always satisfiable, and instances whose ratio is above the threshold are almost always unsatisfiable. [4] She was awarded the 2020 Wolfgang Doeblin prize by the Bernoulli Society, given biannually to a single individual for outstanding research in the field of probability, and who is at the beginning of their mathematical career. [5]
She was an invited plenary speaker at the 40th Stochastic Processes and their Applications conference. [6]
Olav Kallenberg is a probability theorist known for his work on exchangeable stochastic processes and for his graduate-level textbooks and monographs. Kallenberg is a professor of mathematics at Auburn University in Alabama in the USA.
Geoffrey Richard GrimmettOLY is an English mathematician known for his work on the mathematics of random systems arising in probability theory and statistical mechanics, especially percolation theory and the contact process. He is the Professor of Mathematical Statistics in the Statistical Laboratory, University of Cambridge, and was the Master of Downing College, Cambridge, from 2013 to 2018.
Sourav Chatterjee is an Indian mathematician, specializing in mathematical statistics and probability theory. Chatterjee is credited with work on the study of fluctuations in random structures, concentration and super-concentration inequalities, Poisson and other non-normal limits, first-passage percolation, Stein's method and spin glasses. He has received a Sloan Fellowship in mathematics, Tweedie Award, Rollo Davidson Prize, Doeblin Prize, Loève Prize, and Infosys Prize in mathematical sciences. He was an invited speaker at the International Congress of Mathematicians in 2014.
Gábor J. Székely is a Hungarian-American statistician/mathematician best known for introducing energy statistics (E-statistics). Examples include: the distance correlation, which is a bona fide dependence measure, equals zero exactly when the variables are independent; the distance skewness, which equals zero exactly when the probability distribution is diagonally symmetric; the E-statistic for normality test; and the E-statistic for clustering.
Terence John LyonsFLSW is a British mathematician, specialising in stochastic analysis. Lyons, previously the Wallis Professor of Mathematics, is a fellow of St Anne's College, Oxford and a Faculty Fellow at The Alan Turing Institute. He was the director of the Oxford-Man Institute from 2011 to 2015 and the president of the London Mathematical Society from 2013 to 2015. His mathematical contributions have been to probability, harmonic analysis, the numerical analysis of stochastic differential equations, and quantitative finance. In particular he developed what is now known as the theory of rough paths. Together with Patrick Kidger he proved a universal approximation theorem for neural networks of arbitrary depth.
Yuval Peres is a mathematician known for his research in probability theory, ergodic theory, mathematical analysis, theoretical computer science, and in particular for topics such as fractals and Hausdorff measure, random walks, Brownian motion, percolation and Markov chain mixing times. He was born in Israel and obtained his Ph.D. at the Hebrew University of Jerusalem in 1990 under the supervision of Hillel Furstenberg. He was a faculty member at the Hebrew University and the University of California at Berkeley, and a Principal Researcher at Microsoft Research in Redmond, Washington. Peres has been accused of sexual harassment by several female scientists.
Scott Sheffield is a professor of mathematics at the Massachusetts Institute of Technology. His primary research field is theoretical probability.
Alison Mary Etheridge is Professor of Probability and former Head of the Department of Statistics, University of Oxford. Etheridge is a fellow of Magdalen College, Oxford.
Grégory Miermont is a French mathematician working on probability, random trees and random maps.
Steven Neil Evans is an Australian-American statistician and mathematician, specializing in stochastic processes.
Itai Benjamini is an Israeli mathematician who holds the Renee and Jay Weiss Chair in the Department of Mathematics at the Weizmann Institute of Science.
Alice Guionnet is a French mathematician known for her work in probability theory, in particular on large random matrices.
Ivan Zachary Corwin is a professor of mathematics at Columbia University.
Kavita Ramanan is a probability theorist who works as a professor of applied mathematics at Brown University.
Elizaveta (Liza) Levina is a Russian and American mathematical statistician. She is the Vijay Nair Collegiate Professor of Statistics at the University of Michigan, and is known for her work in high-dimensional statistics, including covariance estimation, graphical models, statistical network analysis, and nonparametric statistics.
Allan Murray Sly is an Australian mathematician and statistician specializing in probability theory. He is a professor of mathematics at Princeton University and was awarded a MacArthur Fellowship in 2018.
Haya Kaspi is an Israeli operations researcher, statistician, and probability theorist. She is a professor emeritus of industrial engineering and management at the Technion – Israel Institute of Technology.
Ioannis Kontoyiannis is a Greek mathematician and information theorist. He is the Churchill Professor of Mathematics for Operational Research with the Statistical Laboratory, in the Department of Pure Mathematics and Mathematical Statistics, of the University of Cambridge. He is also a Fellow of Darwin College, Cambridge, an affiliated member of the Division of Information Engineering, Cambridge, a Research Fellow of the Foundation for Research and Technology - Hellas, a Senior Member of Robinson College, Cambridge, and a trustee of the Rollo Davidson Trust.
Jason Peter Miller is an American mathematician, specializing in probability theory.
Qi-Man Shao is a Chinese probabilist and statistician mostly known for his contributions to asymptotic theory in probability and statistics. He is currently a Chair Professor of Statistics and Data Science at the Southern University of Science and Technology.