Xiang Ren is an assistant professor of Computer Science at the University of Southern California (USC) with affiliated appointment at USC Information Sciences Institute (ISI). He is also the director of Intelligence and Knowledge Discovery (INK) Research Lab, the Information Director of ACM Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD), and member of USC Machine Learning Center, CAIS Center for AI in Society, and ISI Center on Knowledge Graphs. Priorly, he was a research scholar at Stanford University, and received his Ph.D. in Computer Science from University of Illinois Urbana-Champaign. Prof. Ren's research leads to a book entitled "Mining Structures of Factual Knowledge from Text: An Effort-Light Approach" and over 50 research publications in top conferences and journals, was covered in over 10 conference tutorials (KDD, WWW, NAACL), received awards including JP Morgan AI Research Award (2019), Amazon Faculty Award (2019), ACM SIGKDD Dissertation Award
(2018), WWW Best Poster runner-up (2018), David J. Kuck Outstanding Thesis Award (2017), Google PhD fellowship (2016), Yelp Dataset Challenge Award (2015), and Yahoo!-DAIS Research Excellence Award (2015). Technologies he developed has been transferred to US Army Research Lab, National Institute of Health, Microsoft, Yelp and TripAdvisor.