Michael Jordan
Professor of Statistics and Computer Sciences
Department of Statistics, Division of Computer Science/EECS
(510) 642-3806

Research Expertise and Interest

computer science, artificial intelligence, computational biology, statistics, machine learning, electrical engineering, applied statistics, optimization


My research focuses on the relationships between computation and inference, and on applications in molecular biology, natural language  processing, signal processing and robotics. Specific areas of focus in recent years include probabilistic graphical models, kernel machines,  variational inference, and Bayesian nonparametrics.  My work also involves research in optimization theory and stochastic processes.

In Research News

January 19, 2016

To Michael Jordan, the smart way to extract and analyze key information embedded in mountains of “Big Data” is to ignore most of it. Instead, zero in on collections of small amounts of data.

April 19, 2011

Sociologist Claude Fischer, cognitive scientist Michael Jordon and theoretical chemist Martin Head-Gordon have been elected members of the American Academy of Arts and Sciences.

April 27, 2010

Two University of California, Berkeley, faculty members were elected members of the National Academy of Sciences (NAS) and a third professor was elected a foreign associate.

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