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Research Expertise and Interest

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Name

Department

Alexandre Mas

Haas School of Business

labor markets, human resources, data analysis and statistical methods

Thad Dunning

Dept of Political Science

political economy, ethnic politics, comparative clientelism in developing countries, research design, causal inference, statistical methods, multi-method research

Adityanand Guntuboyina

Dept of Statistics

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

Peng Ding

Dept of Statistics

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

Nikita Zhivotovskiy

Dept of Statistics

mathematical statistics, applied probability, statistical learning theory

Ian Wang

Dept of Environmental Science, Policy & Management

genetics and genomics, genomics, landscape genetics, evolution, population genetics, conservation, herpetology, GIS, spatial analysis, statistical methods, epigenetics

Jonah B. Gelbach

School of Law

civil procedure, statutory interpretation, law and economics, event study methodology, securities litigation, economics of crime, public assistance, statistical methods

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

Samuel Lucas

Dept of Sociology

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

Shirshendu Ganguly

Dept of Statistics

probability theory, statistical mechanics

Daniel Klein

Division of Computer Science (EECS)

unsupervised language acquisition, efficient algorithms for NLP, linguistically rich models of language, integrating symbolic and statistical methods for NLP, organization of the web, machine translation, information extraction

Ryan Giordano

Dept of Statistics

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

Alan Hammond

Dept of Statistics

probability, mathematical probability, statistical mechanics

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

Jennifer Listgarten

Division of Computer Science (EECS)

artificial intelligence, machine learning, computational biology, protein engineering, statistical design of experiments, statistical machine learning, experimental design

Peter Bartlett

Dept of Statistics

Division of Computer Science (EECS)

machine learning, statistical learning theory, adaptive control

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

Patrick Bradshaw

School of Public Health

epidemiologic methods, Bayesian methods, cancer epidemiology, cardiometabolic risk

Aaron Fisher

Dept of Psychology

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

Karthik Shekhar

Dept of Chemical & Biomolecular Engineering

cellular and systems biology, statistical inference, single-cell genomics

Oskar Hallatschek

Dept of Physics

biophysics, evolutionary dynamics, soft matter, statistical physics, theory and experiments

Ryan Tibshirani

Dept of Statistics

statistical computing, applications in public health, high-dimensional data analysis, nonparametric inference, artificial intelligence, machine learning

Alan Hubbard

School of Public Health

causal inference, targeted learning, statistical issues in epidemiology, precision medicine and public health

Michael DeWeese

Dept of Neuroscience

Dept of Physics

machine learning, computation, systems neuroscience, auditory cortex, neural coding, statistical mechanics

Ying Cui

Dept of Industrial Engineering & Operations Research

continuous optimization, optimization under uncertainty, statistical estimations, machine learning, artificial intelligence

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