Johan Ugander
Assistant Professor of Management Science and Engineering
Bio
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
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Assistant Professor, Management Science and Engineering
Honors & Awards
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Best Paper Award, ACM International Conference on Web Science (WebSci) (2012)
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Best Student Paper Award, ACM Conference on Web Search and Data Mining (WSDM) (2013)
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Eugene L. Grant Undergraduate Teaching Award, Management Science & Engineering (2016)
Program Affiliations
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Institute for Computational and Mathematical Engineering (ICME)
Professional Education
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PhD, Cornell University, Applied Mathematics (2014)
2018-19 Courses
- Data Privacy and Ethics
MS&E 234 (Win) - Networks
MS&E 135 (Win) - Topics in Social Data
MS&E 334 (Aut) -
Independent Studies (3)
- Directed Reading and Research
MS&E 408 (Aut, Win, Spr, Sum) - Independent Study
SYMSYS 296 (Win) - Ph.D. Qualifying Tutorial or Paper
MS&E 300 (Aut, Win, Spr, Sum)
- Directed Reading and Research
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Prior Year Courses
2017-18 Courses
- Data Privacy and Ethics
MS&E 234 (Spr) - Networks
MS&E 135 (Spr) - Topics in Social Data
MS&E 334 (Aut)
2016-17 Courses
- Networks
MS&E 135 (Win) - The Structure of Social Data
MS&E 334 (Aut)
2015-16 Courses
- Networks
MS&E 135 (Spr) - The Structure of Social Data
MS&E 334 (Aut)
- Data Privacy and Ethics
Stanford Advisees
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Doctoral Dissertation Reader (AC)
Hao Yin -
Doctoral Dissertation Advisor (AC)
Kristen M. Altenburger, Imanol Arrieta Ibarra, Jan Overgoor, Stephen Ragain -
Master's Program Advisor
Aitan Grossman, George Supaniratisai, Zen Wu -
Doctoral (Program)
William Cai, Jenny Hong