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Research Expertise and Interest

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Name

Department

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

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

Shirshendu Ganguly

Dept of Statistics

probability theory, statistical mechanics

Samuel Lucas

Dept of Sociology

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

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

Stephanie L Canizales

Dept of Sociology

international migration, immigrant integration, inequality and mobility, qualitative methods, children-youth-and families

Charles Chip Sullivan

Dept of Landscape Architecture & Environmental Planning

garden history, symbolism, creative and imagination development, perceptual engagements, inclusive methods and mediums to express landscapes

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

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

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

Burkhard Militzer

Dept of Earth and Planetary Science

density functional methods, equation of state calculations, planetary interiors, materials at high pressure, theoretical mineral physics, path integration Monte Carlo, planet formation, quantum Monte Carlo method

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

William A. Lester, Jr.

Dept of Chemistry

theoretical and physical chemistry, advances in basic theory, computational methods, study of molecular electronic structure, quantum Monte Carlo method, Born-Oppenheimer approximation

Karthik Shekhar

Dept of Chemical & Biomolecular Engineering

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

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