Richard Harland Dept of Molecular & Cell Biology molecular biology, early vertebrate development, Xenopus, embryo development
Daniel McFadden Dept of Economics latent variable models, choice modeling, econometric modeling, sampling theory, production theory, consumer theory
Hilary Hoynes Dept of Economics Goldman School of Public Policy poverty, inequality, economic policy, Social Safety Net, labor economics, public economics, Food Insecurity, COVID-19
Quitzé Valenzuela-Stookey Dept of Economics Mechanism Design, matching and marketing design, industrial organization, bounded rationality
Peter Bickel Dept of Statistics statistics, machine learning, semiparametric models, asymptotic theory, hidden Markov models, applications to molecular biology
Carl Shapiro Dept of Economics Haas School of Business anti-trust economics, economics of networks and interconnection, design and use of patents, industrial organization economics
Bin Yu Dept of Statistics machine learning, trustworthy data science and AI, interdisciplinary research in biomedicine, neuroscience, climate science
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
Ryan Giordano Dept of Statistics machine learning, variational inference, Bayesian methods, robustness quantification, applied statistics
Sean Farhang School of Law Dept of Political Science Goldman School of Public Policy civil litigation
Andreas Schaab Dept of Economics monetary policy, business cycle fluctuations, inequality, policy design