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2017 GTC San Jose

Mu Li

Sr. Applied Scientist, Amazon

Speaker Bio

Mu Li is currently a senior applied scientist for machine learning at Amazon Web Services. Before joining Amazon, he was the CTO of Marianas Labs, an Artificial Intelligence startup. He also served as a principal research architect at the Institute of Deep Learning at Baidu. He obtained his Ph.D in computer science department from Carnegie Mellon University, where one of his advisors was Alex Smola, now Director of Machine Learning at AWS. Mu's past research focuses on large-scale machine learning. In particular, he is interested in the co-design of distributed systems and machine learning algorithms.  He has been published first-author of computer science conference and journal papers, which span theory (FOCS), machine learning (NIPS, ICML), applications (CVPR, KDD) and operation systems (OSDI).

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