Short Bio:

Dr. Lei Li is a Post-Doctoral researcher at EECS department of UC Berkeley and visiting researcher at CMU. His research interest lies in the intersection of machine learning, statistical inference and database systems. Specifically, he has been working on Bayesian inference in open universe probabilistic models, probabilistic programming language, large-scale learning, time series, communication and social networks. He has served in the Program Committee for SDM 2013, IJCAI 2011/2013, ICDM 2011 workshop on collective intelligence, KDD 2011, 2012 workshop on Multimedia data mining. He has been invited as reviewer for TOMCCAP,DAMI, KDD, SIGMOD,VLDB,PKDD, and WWW.

Lei received his B.S. in Computer Science and Engineering from Shanghai Jiao Tong University in 2006 and Ph.D. in Computer Science from Carnegie Mellon University in 2011, respectively. His dissertation work on fast algorithms for mining co-evolving time series was awarded ACM KDD best dissertation (runner up).