Michael Jordan
Michael Jordan is a professor of Statistics and Computer Sciences. His 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. His work also involves research in optimization theory and stochastic processes.
In the News
EECS professor Michael Jordan named to Royal Society
$10 million for Berkeley RISELab’s AI research
Big Thinking About Big Data
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.
Three faculty members elected to American Academy of Arts and Sciences
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.
Three UC Berkeley professors named to National Academy of Sciences
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.