Dr. Lei Li is a research scientist at Toutiao and director of Toutiao Lab. Lei received his B.S. in Computer Science and Engineering from Shanghai Jiao Tong University (ACM class) and Ph.D. in Computer Science from Carnegie Mellon University, respectively. His dissertation work on fast algorithms for mining co-evolving time series was awarded ACM KDD best dissertation (runner up). Before Toutiao, he worked at Baidu's Institute of Deep Learning in Silicon Valley as a Principal Research Scientist (“少帅学者”). Previously, he worked briefly at Microsoft Research (Asia and Redmond), Google (Mountain View), and IBM (TJ Watson Reserch Center). Before joining Baidu, he was working in EECS department of UC Berkeley as a Post-Doctoral Researcher. His research interest lies in the intersection of deep learning, statistical inference, natural language understanding, and time series analysis. He has served in the Program Committee for ICML 2014, ECML/PKDD 2014/2015, SDM 2013/2014, IJCAI 2011/2013/2016, KDD 2015/2016, 2017 KDD Cup co-Chair, and as a lecturer in 2014 summer school on Probabilistic Programming for Advancing Machine Learning. He has published over 30 technical papers and holds 3 US patents.