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2016 Challis Lecturer Michael Jordan

Michael Jordan

Professor of Statistics and Computer Sciences
University of California, Berkeley

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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.

His research interests bridge the computational, statistical, cognitive and biological sciences, and have focused in recent years on Bayesian nonparametric analysis, probabilistic graphical models, spectral methods, kernel machines and applications to problems in distributed computing systems, natural language processing, signal processing and statistical genetics. Prof. Jordan is a member of the National Academy of Sciences, a member of the National Academy of Engineering and a member of the American Academy of Arts and Sciences. He is a Fellow of the American Association for the Advancement of Science. He has been named a Neyman Lecturer and a Medallion Lecturer by the Institute of Mathematical Statistics. He received the IJCAI Research Excellence Award in 2016, the David E. Rumelhart Prize in 2015 and the ACM/AAAI Allen Newell Award in 2009. He is a Fellow of the AAAI, ACM, ASA, CSS, IEEE, IMS, ISBA and SIAM.

General Lecture: March 29, 2017, 3:30-4:40 p.m.
Technical Lecture: March 30, 2017, 2:30-3:30 p.m.
The Chamber, ground floor, Reitz Union.
Refreshments begin 30 minutes before lecture in room G315, Reitz Union.
Live Stream of Wednesday's General Lecture