Michael Jordan Dept of Statistics Division of Computer Science (EECS) computer science, artificial intelligence, computational biology, statistics, machine learning, electrical engineering, applied statistics, optimization
Barbara Meyer Dept of Molecular & Cell Biology cell fate determination, chromosome architecture, developmental biology, gene expression, genetic determination of sex, regulatory genes, chromosome dynamics, X-chromosome
Rasmus Nielsen Dept of Integrative Biology Dept of Statistics evolution, molecular evolution, population genetics, human variation, human genetics, phylogenetics, applied statistics, genetics, evolutionary processes, evolutionary biology
Elliot Turiel School of Education development, education, cognition, human development, development of social judgments and action, the development of moral reasoning, children’s conceptions of authority, rules in school settings, culture and social development
Vadim Gorin Dept of Mathematics Dept of Statistics integrable probability, random matrices, asymptotic representation theory
Rodolfo Mendoza-Denton Dept of Psychology diversity, intergroup relations, education, prejudice, stigma
Jonah D. Levy Dept of Political Science political science, social policy, comparative political economy, West European politics, French politics, relationship between partisanship and welfare reform in contemporary Western Europe
Mark van der Laan Dept of Statistics School of Public Health targeted learning, real-world data integration in RCTs, sequential adaptive designs, computational biology and genomics, censored data and survival analysis, medical research, inference in longitudinal studies
Areej Sabbagh-Khoury Dept of Sociology political sociology, historical sociology, knowledge production, social theory, colonialism and settler colonialism, citizenship
Avi Feller Dept of Statistics Goldman School of Public Policy applied statistics, theoretical statistics, Bayesian statistics, machine learning, statistics in social sciences
Yun S. Song Dept of Statistics Division of Computer Science (EECS) computational biology, machine learning, applied probability and statistics
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
Isabel Madzorera School of Public Health global health, nutrition, diet quality, maternal and child health, food systems, global climate change
Jenny S. Guadamuz School of Public Health health inequities, pharmaceutical policy, health policy, access to healthcare, immigrant health
Jennifer Chayes Dept of Mathematics Dept of Statistics Division of Computer Science (EECS) phase transitions in computer science, structural and dynamical properties of networks, graphons, machine learning, ethical decision making, climate change
Joseph L. Napoli Dept of Nutritional Sciences & Toxicology metabolism, nutritional biochemistry, fat-soluble vitamins, retinoids, retinoic acid, retinol, vitamin A, vitamin D, analytical biochemistry
Desiree Fields Dept of Geography economic geography, urban theory, financialization, digital platforms, property, geographical political economy, housing justice, digital capitalism
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
Kristina Lovato School of Social Welfare immigration policy, child welfare, Latinx populations, culturally responsive service delivery
Adam Yala Computational Precision Health Program Dept of Statistics Division of Computer Science (EECS) artificial intelligence, health