Michael Jordan Dept of Statistics Division of Computer Science (EECS) computer science, artificial intelligence, computational biology, statistics, machine learning, electrical engineering, applied statistics, optimization
Dor Abrahamson School of Education mathematical cognition, design-based research, mixed-media design for mathematics learning environments, embodied interaction
William (Bill) D. Thompson Dept of Psychology cognition, cognitive science, artificial intelligence, learning, Problem solving, Reasoning, decision-making, Bayesian statistics, natural language processing, machine learning, computational modeling, collective decision-making, social networks
Ken Kamrin Dept of Mechanical Engineering solid and fluid mechanics, constitutive modeling, computational mechanics, physical applied mathematics
Yun S. Song Dept of Statistics Division of Computer Science (EECS) computational biology, machine learning, applied probability and statistics
James Pitman Dept of Statistics fragmentation, statistics, mathematics, Brownian motion, distribution theory, path transformations, stochastic processes, local time, excursions, random trees, random partitions, processes of coalescence
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
Elizabeth Purdom Dept of Statistics computational biology, bioinformatics, statistics, data analysis, sequencing, cancer genomics
Ryan Giordano Dept of Statistics machine learning, variational inference, Bayesian methods, robustness quantification, applied statistics
Ahmed Alaa Computational Precision Health Program machine learning and artificial intelligence, health care, statistics
Alan H. Schoenfeld School of Education thinking, teaching, learning, productive learning environments, professional development, mathematics education, modeling thinking and decision making
Ilan Adler Dept of Industrial Engineering & Operations Research mathematical programming, computational game theory, applied probability
Amanda Coston Dept of Statistics causal inference, machine learning, nonparametric statistics, responsible AI, algorithmic fairness
Robert M. Anderson Dept of Economics finance, probability theory, mathematical economics, nonstandard analysis
Carmine Emanuele Cella Dept of Music mathematical representation of musical and acoustic signals, music composition
Sean Gailmard Dept of Political Science American political institutions, bureaucratic organizations, executive branch, public administration, political economy, statistical modeling
Peter Bickel Dept of Statistics statistics, machine learning, semiparametric models, asymptotic theory, hidden Markov models, applications to molecular biology
Samuel Lucas Dept of Sociology research methods, demography, sociology, social stratification, sociology of education, research statistics
Anil Aswani Dept of Industrial Engineering & Operations Research machine learning and artificial intelligence, precision health, optimization, statistics
Daniel McFadden Dept of Economics latent variable models, choice modeling, econometric modeling, sampling theory, production theory, consumer theory
Michael Jordan
Michael Jordan
Michael Jordan
