Andrew Gelman

Research Interests: why it is rational to vote; why campaign polls are so variable when elections are so predictable; why redistricting is good for democracy; reversals of death sentences; police stops in New York City, the statistical challenges of estimating small effects; the probability that your vote will be decisive; seats and votes in Congress; social network structure; arsenic in Bangladesh; radon in your basement; toxicology; medical imaging; and methods in surveys, experimental design, statistical inference, computation, and graphics.

Samory Kpotufe

Research Interests: Statistical Machine Learning theory, Nonparametric Methods and Adaptivity, Minimally Supervised Learning, e.g., Active Learning, Domain Adaptation and Transfer Learning.  

Marcel Nutz

Research Interests: mathematical finance, optimal transport, game theory, probability theory

Liam Paninski

Research Interests: neural data analysis, machine learning

Philip E. Protter

Research Interests: Probability Theory, primarily in Mathematical Finance, but also in Markov Processes, Filtering Theory, and Numerical Analysis of Stochastic Differential Equations. Within Finance, recent interests include Ultra High Frequency Trading and Market Microstructure, Financial Bubbles, Mathematical Models of Insider Trading, and Models of Liquidity.

Bodhisattva Sen

Research Interests: Nonparametric function estimation (especially under shape constraints). Bootstrap based inference in non-standard problems. Change-point and threshold models. Applications in Astronomy and High Energy Physics.

Simon Tavaré

Zhiliang Ying