Xinghao Pan

Xinghao Pan is a Computer Science PhD candidate at UC Berkeley, where he is advised by Prof. Michael I. Jordan. His work focuses on solving Machine Learning and Big Data problems; specifically he is interested in adapting database concepts on concurrency control to parallelizing inherently sequential machine learning algorithms, in order to maximize scalability while preserving correctness and theoretical guarantees. He received his BS and MS in Computer Science from Carnegie Mellon University under the supervision of Prof. Priya Narasimhan. Xinghao is supported by a Postgraduate Scholarship from DSO National Laboratories (Singapore), where he was a Senior Member of Technical Staff before joining Berkeley.
https://people.eecs.berkeley.edu/~xinghao/

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