Peter Bickel Dept of Statistics statistics, machine learning, semiparametric models, asymptotic theory, hidden Markov models, applications to molecular biology
Alexander Huth Dept of Neuroscience Dept of Statistics language neuroscience, fMRI, semantic modeling, decoding/encoding models, computational neuroscience
Pieter Abbeel Division of Computer Science (EECS) robotics, machine learning, artificial intelligence, deep 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
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
Perry de Valpine Dept of Environmental Science, Policy & Management population ecology, mathematical modeling and statistics
Nilah Ioannidis Division of Computer Science (EECS) computational biology, machine learning, artificial intelligence, genomics, personal genome interpretation, precision health, rare diseases, statistical genetics, molecular biology, biophysics