Adityanand Guntuboyina Dept of Statistics nonparametric and high-dimensional statistics, shape constrained statistical estimation, empirical processes, statistical information theory
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
Peter Bickel Dept of Statistics statistics, machine learning, semiparametric models, asymptotic theory, hidden Markov models, applications to molecular biology
Nikita Zhivotovskiy Dept of Statistics mathematical statistics, applied probability, statistical learning theory
Dan-Virgil Voiculescu Dept of Mathematics operator algebras, free probability theory, random matrices, K-theory of operator algebras, single operator theory
Yun S. Song Dept of Statistics Division of Computer Science (EECS) artificial intelligence, machine learning, applied probability and statistics, computational biology, computational genomics, human genetics
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
Alan Hammond
Alan Hammond
Alan Hammond
