About
Michael Jordan is a Professor at the University of California, Berkeley, with appointments in the Departments of Electrical Engineering and Computer Sciences and Statistics. His research bridges computational, statistical, cognitive, and biological sciences, emphasizing advanced methodologies and their interdisciplinary applications.
Research Interests
His work focuses on
- Bayesian Nonparametric Analysis
- Probabilistic Graphical Models
- Spectral Methods
- Kernel Machines
- Applications in Distributed Computing Systems, Natural Language Processing, Signal Processing, and Statistical Genetics
Labs and Roles
As a Principal Investigator, he leads a research lab at UC Berkeley. Further details are accessible via the lab’s external webpage.
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