Dor Abrahamson Berkeley School of Education mathematical cognition, design-based research, mixed-media design for mathematics learning environments, embodied interaction
Ilan Adler Dept of Industrial Engineering & Operations Research mathematical programming, computational game theory, applied probability
Maximilian Auffhammer Dept of Agricultural & Resource Economics Dept of International and Area Studies climate change, social cost of carbon, econometrics, air pollution, environmental economics, energy economics
Ned Augenblick Haas School of Business behavior economics, economic analysis, Online Markets, economics, strategy
Peter Bartlett Dept of Statistics Division of Computer Science/EECS machine learning, statistical learning theory, adaptive control
Carl Boettiger Dept of Environmental Science, Policy & Management theoretical ecology, stochastic processes, optimal control, decision theory, ecoinformatics, data science, tipping points
Christian Borgs Division of Computer Science/EECS theoretical computer science, probability theory, combinatorics, complex networks., statistical physics, artificial intelligence
Sunčica Čanić Dept of Mathematics applied mathematics, partial differential equations, computational methods, biomedical research
Yu-Ling Chang School of Social Welfare Poverty and Inequality, Social Safety Net Programs, Unemployment and Labor Studies
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
John Colford Berkeley Public Health public health, epidemiology, infectious diseases, biostatistics, meta-analysis
Peng Ding Dept of Statistics Statistical causal inference, missing data, Bayesian statistics, applied statistics
Sandrine Dudoit Dept of Statistics statistics, applied statistics, data science, statistical computing, computational biology and genomics
Steven Evans Dept of Mathematics Dept of Statistics large random combinatorial structures, random matrices, superprocesses & other measure-valued processes, probability on algebraic structures -particularly local fields, applications of stochastic processes to biodemography, mathematical finance, population genetics, phylogenetics & historical linguistics
Avi Feller Dept of Statistics Goldman School of Public Policy applied statistics, theoretical statistics, Bayesian statistics, machine learning, statistics in social sciences
Vadim Gorin Dept of Mathematics Dept of Statistics integrable probability, random matrices, asymptotic representation theory
Adityanand Guntuboyina Dept of Statistics nonparametric and high-dimensional statistics, shape constrained statistical estimation, empirical processes, statistical information theory
Stephen Hinshaw Dept of Psychology psychology, child clinical, developmental psychopathology, risk factors for attentional, conduct disorders, child psychopharmacology, multimodality interventions, diagnostic validity of disorders, peer relationships, stigma of mental illness
Giles Hooker Dept of Statistics statistical computing, applications in the physical and environmental sciences, applications in biology and medicine, non-parametric inference, artificial intelligence, machine learning
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
Alan Hubbard Berkeley Public Health causal inference, targeted learning, statistical issues in epidemiology, precision medicine and public health
Nicholas Jewell Berkeley Public Health Dept of Statistics AIDS, statistics, epidemiology, infectious diseases, dengue fever, Wolbachia, Ebola Virus Disease, SARS, H1N1 influenza, adverse cardiovascular effects of pharmaceuticals, counting civilian casualties during conflicts