Speaker: Johan Ugander
About the Speaker: Johan Ugander is an Assistant Professor of Management Science and Engineering. His research develops algorithmic and statistical frameworks for analyzing social networks, social systems, and other large-scale social data. His work commonly falls at the intersections of graph theory, probability theory, statistics, optimization, and algorithm design. Johan obtained his Ph.D. in Applied Mathematics from Cornell University in June 2014, advised by Jon Kleinberg. From 2010-14, he held an affiliation with the Facebook Data Science team. For the 2014-15 academic year, he was a post-doctoral researcher at Microsoft Research, hosted by Eric Horvitz. Johan joined Stanford in September 2015, where he is a member of MS&E's Social Algorithms Lab (SOAL) and affiliated with the Center for Computational Social Science.