Title:

Non-parametric Bayes and Machine Learning

Bio:

Michael I. Jordan is the Pehong Chen Distinguished Professor in the Department of Electrical Engineering and Computer Science and the Department of Statistics at the University of California, Berkeley.

He was a professor at MIT from 1988 to 1998. His research in recent years has focused on Bayesian nonparametric analysis, graphical models and spectral methods, and applications to problems in signal processing, computational biology, and natural language processing. Prof. Jordan was named to the National Academy of Sciences in 2010 and the National Academy of Engineering in 2010.

He is a Fellow of the American Association for the Advancement of Science and a Fellow of the IMS, the ACM, and the IEEE.

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