Ilan Adler Dept of Industrial Engineering & Operations Research mathematical programming, computational game theory, applied probability
Nikita Zhivotovskiy Dept of Statistics mathematical statistics, applied probability, statistical learning theory
Yun S. Song Dept of Statistics Division of Computer Science (EECS) computational biology, machine learning, applied probability and statistics
Michael J. Lindsey Dept of Mathematics applied mathematics, mathematical analysis, probability, numerical analysis, optimization, Monte Carlo methods
Venkat Anantharam Division of Electrical Engineering (EECS) game theory, applied probability, electrical engineering, communications, control, communication networks, error control coding
Xin Guo Dept of Industrial Engineering & Operations Research stochastic control and games, theory of machine learning and applications to medical and financial data analysis, applied probability and stochastic models
Alistair Sinclair Dept of Statistics Division of Electrical Engineering (EECS) algorithms, applied probability, statistics, random walks, Markov chains, computational applications of randomness, Markov chain Monte Carlo, statistical physics, combinatorial optimization
Fraydoun Rezakhanlou Dept of Mathematics mathematics, probability theory, partial differential equations
Robert M. Anderson Dept of Economics finance, probability theory, mathematical economics, nonstandard analysis
Vadim Gorin Dept of Mathematics Dept of Statistics integrable probability, random matrices, asymptotic representation theory
Thomas Courtade Division of Electrical Engineering (EECS) information theory, probability, data compression, communications, computer science
Xueyin (Snow) Zhang Dept of Philosophy Bayesian epistemology, decision theory, philosophy of probability, Chinese philosophy
Dan-Virgil Voiculescu Dept of Mathematics operator algebras, free probability theory, random matrices, K-theory of operator algebras, single operator theory
Diag Davenport Goldman School of Public Policy School of Information applied microeconomics, behavioral science, machine learning
Nick Tsivanidis Dept of Economics Haas School of Business urban and regional economics, development economics, applied econometrics
Manisha Shah Goldman School of Public Policy applied microeconomics, international development, global health, gender
David Sunding Dept of Agricultural & Resource Economics environmental economics, industrial organization, applied econometrics, law and economics