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Johan Ugander
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Assistant Professor of Management Science and Engineering

Johan Ugander

Assistant Professor of Management Science and Engineering
Professor 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, machine learning, statistics, optimization, and algorithm design.

Education

PhD, Cornell University, Applied Mathematics (2014)