Michael Jordan

Michael Jordan

Professor of Statistics and Computer Sciences
Dept of Statistics
Division of Computer Science/EECS
(510) 642-3806
(510) 642-5775
Research Expertise and Interest
computer science, artificial intelligence, computational biology, statistics, machine learning, electrical engineering, applied statistics, optimization
Research Description

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 the News

February 27, 2018

$10 million for Berkeley RISELab’s AI research

The National Science Foundation today announced that RISELab has been awarded an Expeditions in Computing award to enable game-changing advances in real-time decision making technologies.
January 19, 2016

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.