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.
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)
Institute for Computational and Mathematical Engineering (ICME)
PhD, Cornell University, Applied Mathematics (2014)