Peng Ding Dept of Statistics Statistical causal inference, missing data, Bayesian statistics, applied statistics
Pierre-Olivier Gourinchas Dept of Economics Haas School of Business economics, exchange rate, lending booms, consumption, capital flows, global imbalances, external adjustment, international prices, international portfolios, financial crises, eurozone crisis
Thibault Fally Dept of Agricultural & Resource Economics International Trade and Investment, economic development, trade, development
Meredith Fowlie Dept of Agricultural & Resource Economics energy markets, climate change mitigation, climate change adaptation, air pollution
Elisabeth Sadoulet Dept of Agricultural & Resource Economics economics, agriculture, labor management & policy
Tamma Carleton Dept of Agricultural & Resource Economics environmental and resource economics, remote sensing, climate change, water resources, health effects of air pollution
Amy Lerman Dept of Political Science Goldman School of Public Policy American government, public opinion, civic engagement, criminal justice, public impact research/scholarship, community-engaged research/scholarship, research practice partnership
Katerina Linos School of Law international law, comparative law, European Union law, employment law, migration law
Sam Pimentel Dept of Statistics causal inference, health services & policy analysis, biostatistics, discrete optimization
Ethan Ligon Dept of Agricultural & Resource Economics economics, insurance, agricultural contracts, risk sharing, intra-household allocation, welfare, demand analysis
Nick Tsivanidis Dept of Economics Haas School of Business urban and regional economics, development economics, applied econometrics
G. Cristina Mora Dept of Sociology classification, organizations, race and ethnicity, Latino Migration
Nikita Zhivotovskiy Dept of Statistics mathematical statistics, applied probability, statistical learning theory
Adityanand Guntuboyina Dept of Statistics nonparametric and high-dimensional statistics, shape constrained statistical estimation, empirical processes, statistical information theory
Deborah Nolan Dept of Statistics statistics, empirical process, high-dimensional modeling, technology in education
Ryan Tibshirani Dept of Statistics statistical computing, applications in public health, high-dimensional data analysis, nonparametric inference, artificial intelligence, machine learning
Amanda Coston Dept of Statistics causal inference, machine learning, nonparametric statistics, responsible AI, algorithmic fairness