Johan Ugander

Associate Professor, Management Science & Engineering (MS&E), Institute for Computational & Mathematical Engineering (ICME), Cisco Systems Faculty, Scholar School of Engineering, Stanford University

I use statistical and computational methods to study social networks, human behavior, and their interplay. My work is partly empirical, working to advance our understanding of important social systems and processes, and partly methodological, developing tools to do so more efficiently and effectively. I frequently leverage the unique measurement opportunities created by the internet and digitization over the last two decades, making it possible to study social and individual behavior in previously unprecedented ways.

Within MS&E I am a member of the Social Algorithms Lab (SOAL). I am also among the faculty co-directors of the RAIN Seminar. At Stanford I am also affiliated with the Institute for Computational & Mathematical Engineering (ICME) and the Center for Computational Social Science. At the undergraduate level I also advise students from the Symbolic Systems (SymSys) and Mathematical and Computational Science (MCS) majors.

I obtained my Ph.D. in Applied Mathematics from Cornell University in 2014, advised by Jon Kleinberg. I also hold degrees from the University of Cambridge and Lund University; before that I attended Deep Springs College. From 2010-14 I held an affiliation with the Facebook Data Science team. In 2014-15 I spent one year as a post-doctoral researcher at Microsoft Research, hosted by Eric Horvitz. I joined the Stanford faculty in September 2015 and received tenure in June 2022.