Ugander's research develops algorithmic and statistical frameworks for analyzing social networks, social systems, and other large-scale data-rich contexts. He is particularly interested in the challenges of causal inference and experimentation in these complex domains. His work commonly falls at the intersections of graph theory, statistics, optimization, and algorithm design.

Academic Appointments

  • Assistant Professor, Management Science and Engineering

Honors & Awards

  • Best Paper Award, ACM International Conference on Web Science (WebSci) (2012)
  • Best Student Paper Award, ACM Conference on Web Search and Data Mining (WSDM) (2013)
  • Eugene L. Grant Undergraduate Teaching Award, Management Science & Engineering (2016)

Program Affiliations

  • Institute for Computational and Mathematical Engineering (ICME)
  • Symbolic Systems Program

Professional Education

  • PhD, Cornell University, Applied Mathematics (2014)

2018-19 Courses

Stanford Advisees