Peter Bickel Dept of Statistics statistics, machine learning, semiparametric models, asymptotic theory, hidden Markov models, applications to molecular biology
Thibaut Mastrolia Dept of Industrial Engineering & Operations Research stochastic control, game theory, finance, optimization
Michael J. Lindsey Dept of Mathematics applied mathematics, mathematical analysis, probability, numerical analysis, optimization, Monte Carlo methods
Michael Jordan Dept of Statistics Division of Computer Science (EECS) computer science, artificial intelligence, computational biology, statistics, machine learning, electrical engineering, applied statistics, optimization
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
William A. Lester, Jr. Dept of Chemistry theoretical and physical chemistry, advances in basic theory, computational methods, study of molecular electronic structure, quantum Monte Carlo method, Born-Oppenheimer approximation
Peter Bickel
Peter Bickel
Peter Bickel
