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Research Expertise and Interest

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Name

Department

Avi Feller

Dept of Statistics

Goldman School of Public Policy

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

Peng Ding

Dept of Statistics

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

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

Nikita Zhivotovskiy

Dept of Statistics

mathematical statistics, applied probability, statistical learning theory

Samuel Lucas

Dept of Sociology

research methods, demography, sociology, social stratification, sociology of education, research statistics

Song Mei

Dept of Statistics

data science, statistics, machine learning

Andrew Barshay

Dept of History

social thought, social sciences in modern Japan, Marxism, Japanese history, Japanese-Russian relations

Adityanand Guntuboyina

Dept of Statistics

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

Henry Brady

Dept of Political Science

Goldman School of Public Policy

comparative politics, public policy, electoral politics, political participation, survey research, program evaluation, statistical methods in the social sciences, social welfare policy, Soviet Union, inequality in America

Will Fithian

Dept of Statistics

Theoretical and Applied Statistics

Perry de Valpine

Dept of Environmental Science, Policy & Management

population ecology, mathematical modeling and statistics

Yun S. Song

Dept of Statistics

Division of Computer Science (EECS)

computational biology, machine learning, applied probability and statistics

Christian Borgs

Division of Computer Science (EECS)

theoretical computer science, probability theory, combinatorics, complex networks, statistical physics, artificial intelligence, applications of artificial intelligence and machine learning in engineering and sciences

Deborah Nolan

Dept of Statistics

statistics, empirical process, high-dimensional modeling, technology in education

William (Bill) D. Thompson

Dept of Psychology

cognition, cognitive science, artificial intelligence, learning, Problem solving, Reasoning, decision-making, Bayesian statistics, natural language processing, machine learning, computational modeling, collective decision-making, social networks

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

Uros Seljak

Dept of Physics

astrophysics, cosmology, machine learning, Bayesian statistics

Elizabeth Purdom

Dept of Statistics

computational biology, bioinformatics, statistics, data analysis, sequencing, cancer genomics

Ahmed Alaa

Computational Precision Health Program

machine learning and artificial intelligence, health care, statistics

Aaron Fisher

Dept of Psychology

Idiographic Science, Group-to-Individual Generalizability, Personalization, EMA, Time Series, physiology, Methods and Statistics

Amanda Coston

Dept of Statistics

causal inference, machine learning, nonparametric statistics, responsible AI, algorithmic fairness

Neil Gilbert

School of Social Welfare

social welfare, comparative welfare state analysis, child welfare, evaluation research, family policy, social security

Kurt C. Organista

School of Social Welfare

social welfare, race/ethnicity, HIV prevention, social behavior

Ryan Giordano

Dept of Statistics

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

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