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
Michael J. Lindsey Dept of Mathematics applied mathematics, mathematical analysis, probability, numerical analysis, optimization, Monte Carlo methods
Yun S. Song Dept of Statistics Division of Computer Science (EECS) computational biology, machine learning, applied probability and statistics
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
Venkat Anantharam Division of Electrical Engineering (EECS) game theory, applied probability, electrical engineering, communications, control, communication networks, error control coding
Bethany L. Goldblum Dept of Nuclear Engineering applied nuclear physics, neutron detection, scintillation physics, machine learning applications, nuclear weapon policy
David Sunding Dept of Agricultural & Resource Economics environmental economics, industrial organization, applied econometrics, law and economics
Nick Tsivanidis Dept of Economics Haas School of Business urban and regional economics, development economics, applied econometrics
Diag Davenport Goldman School of Public Policy School of Information applied microeconomics, behavioral science, machine learning
Manisha Shah Goldman School of Public Policy applied microeconomics, international development, global health, gender
Johann Frick Dept of Philosophy moral philosophy, political philosophy, practical reason, applied ethics
Dan-Virgil Voiculescu Dept of Mathematics operator algebras, free probability theory, random matrices, K-theory of operator algebras, single operator theory
Sunčica Čanić Dept of Mathematics applied mathematics, partial differential equations, computational methods, biomedical research
Lin Lin Dept of Mathematics applied mathematics, Quantum Chemistry, quantum computation, Scientific machine learning
Fraydoun Rezakhanlou Dept of Mathematics mathematics, probability theory, partial differential equations
Sydnee Caldwell Dept of Economics Haas School of Business personnel economics, labor economics, gender wage gap, applied microeconomics
Franziska Weber Dept of Mathematics applied mathematics, mathematical analysis, numerical analysis, nonlinear partial differential equations
Ilan Adler
Ilan Adler
Ilan Adler
