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Research Expertise and Interest

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Name

Department

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

Peng Ding

Dept of Statistics

Statistical causal inference, missing data, Bayesian statistics, applied statistics

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

Will Fithian

Dept of Statistics

Theoretical and Applied Statistics

Avi Feller

Dept of Statistics

Goldman School of Public Policy

applied statistics, theoretical statistics, Bayesian statistics, machine learning, statistics in social sciences

Alan Hammond

Dept of Statistics

probability, mathematical probability, statistical mechanics

Ilan Adler

Dept of Industrial Engineering & Operations Research

mathematical programming, computational game theory, applied probability

Sandrine Dudoit

Dept of Statistics

School of Public Health

statistics, machine learning, data science, applied statistics, statistical computing, computational biology, computational genomics, precision medicine, precision health

Michael Jordan

Dept of Statistics

Division of Computer Science (EECS)

computer science, artificial intelligence, computational biology, statistics, machine learning, electrical engineering, applied statistics, optimization

Shirshendu Ganguly

Dept of Statistics

probability theory, statistical mechanics

Ryan Giordano

Dept of Statistics

machine learning, variational inference, Bayesian methods, robustness quantification, applied statistics

Michael J. Lindsey

Dept of Mathematics

applied mathematics, mathematical analysis, probability, numerical analysis, optimization, Monte Carlo methods

Haiyan Huang

Dept of Statistics

applied statistics, functional genomics, translational bioinformatics, high dimensional and integrative genomic/genetic data analysis, network modeling, hierarchical multi-lable classification

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

Rasmus Nielsen

Dept of Integrative Biology

Dept of Statistics

evolution, molecular evolution, population genetics, human variation, human genetics, phylogenetics, applied statistics, genetics, evolutionary processes, evolutionary biology

Adityanand Guntuboyina

Dept of Statistics

nonparametric and high-dimensional statistics, shape constrained statistical estimation, empirical processes, statistical information theory

Song Mei

Dept of Statistics

data science, statistics, machine learning

Fraydoun Rezakhanlou

Dept of Mathematics

mathematics, probability theory, partial differential equations

Svetlana Jitomirskaya

Dept of Mathematics

mathematical analysis, probability, dynamical systems

Vadim Gorin

Dept of Mathematics

Dept of Statistics

integrable probability, random matrices, asymptotic representation theory

Robert M. Anderson

Dept of Economics

finance, probability theory, mathematical economics, nonstandard analysis

Perry de Valpine

Dept of Environmental Science, Policy & Management

population ecology, mathematical modeling and statistics

Xueyin (Snow) Zhang

Dept of Philosophy

Bayesian epistemology, decision theory, philosophy of probability, Chinese philosophy

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