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Research Expertise and Interest

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Name

Department

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

Alan Hammond

Dept of Statistics

probability, mathematical probability, statistical mechanics

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

Shirshendu Ganguly

Dept of Statistics

probability theory, statistical mechanics

Fraydoun Rezakhanlou

Dept of Mathematics

mathematics, probability theory, partial differential equations

Svetlana Jitomirskaya

Dept of Mathematics

mathematical analysis, probability, dynamical systems

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

Will Fithian

Dept of Statistics

Theoretical and Applied Statistics

Kirill Borusyak

Dept of Agricultural & Resource Economics

international trade, applied econometrics

Raluca standing in front of computer graphics

Raluca Ada Popa

Division of Computer Science (EECS)

computer security, applied cryptography

photographed in front of the blackboard in his office

Dan-Virgil Voiculescu

Dept of Mathematics

operator algebras, free probability theory, random matrices, K-theory of operator algebras, single operator theory

Carolyn Stein

Haas School of Business

economics of science, innovation, applied microeconomics

Christopher Walters

Dept of Economics

labor economics, applied econometrics, economics of education

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

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