Mohamed Bin Zayed University of Artificial Intelligence
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09 November 2021 ∙ NEWS

Jordan brings starpower to UAE AI education

UC Berkeley Distinguished Professor Michael I. Jordan will lead a session on AI, Machine Learning and Economy as part of the MBZUAI Executive Program. Jordan—a celebrated academic and thought leader—is one of 16 eminent faculty in artificial intelligence and machine learning to be featured as part of the program.

The Executive Program, which is headed up by MBZUAI President, Professor Eric Xing, is a uniquely powerful learning experience for high-level decision makers. Participants spend 12 weeks learning from the global elite in AI-related research, with the end goal of supporting a range of improvements in healthcare, transportation, education, industry, and more.

42 Participants in total make up the first cohort of the Executive Program that includes a large number of ministerial leadership and top industry executives. The program seeks to support the UAE’s mission to become a world leader in artificial intelligence through education, capacity building, innovation, and research and development.

About Michael Jordan
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 is also a member of the advisory committee for the Alibaba Academy for Discovery, Adventure, Momentum and Outlook (DAMO), which is dedicated to exploring the unknown through scientific and technological research and innovation.

Jordan has been awarded an Honorary Doctorate from Yale University. 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 Award in 2015 and the ACM/AAAI Allen Newell Award in 2009. He has also received the Ulf Grenander Award in Stochastic Theory and Modeling, David E. Rumelhart Prize, ACM-AAI Allen Newell Award, and has contributed to several renowned published research papers.

He is a Fellow of the Association of Advancement of Artificial Intelligence (AAAI), ASA, CSS, IEEE, IMS, Bayesian Analysis (ISBA) and Society for Industrial & Applied Mathematics (SIAM). He holds a Ph.D. in cognitive science from the University of California in San Diego, a master’s in mathematics, from Arizona State University, and a bachelor’s in science in psychology from Louisiana State University.

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