Johan Ugander
Associate Professor of Management Science and Engineering
Web page: http://web.stanford.edu/people/jugander
Bio
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.
Honors & Awards
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NSF CAREER Award, National Science Foundation (2022)
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Outstanding Problem-Solution Paper Award, AAAI Conference on Web and Social Media (ICWSM) (2021)
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Best Paper Award, AAAI Conference on Web and Social Media (ICWSM) (2020)
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Faculty Teaching Award, ICME, Stanford (2020)
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ARO Young Investigator Award, Army Research Office (2019)
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Hellman Faculty Fellow, Stanford University (2019)
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Eugene L. Grant Undergraduate Teaching Award, Management Science & Engineering, Stanford (2016)
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Faculty Award, Facebook (2016)
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Best Student Paper Award, ACM Conference on Web Search and Data Mining (WSDM) (2013)
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Best Paper Award, ACM International Conference on Web Science (WebSci) (2012)
Program Affiliations
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Symbolic Systems Program
Professional Education
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PhD, Cornell University, Applied Mathematics (2014)
2023-24 Courses
- Networks
MS&E 135 (Win) - Social Algorithms
MS&E 231 (Aut) - Topics in Social Data
MS&E 334 (Spr) -
Independent Studies (7)
- Directed Reading and Research
MS&E 408 (Aut, Win, Spr, Sum) - Independent Study
SYMSYS 296 (Win) - Industrial Research for Statisticians
STATS 398 (Sum) - Master's Research
CME 291 (Win, Spr) - Ph.D. Research
CME 400 (Aut, Win, Spr, Sum) - Ph.D. Research Rotation
CME 391 (Aut, Win) - Practical Training
MCS 198 (Sum)
- Directed Reading and Research
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Prior Year Courses
2022-23 Courses
- Introduction to Computational Social Science
MS&E 231 (Aut) - Networks
MS&E 135 (Win)
2021-22 Courses
- Data Privacy and Ethics
MS&E 234 (Win) - Networks
MS&E 135 (Win) - Topics in Social Data
MS&E 334 (Spr)
2020-21 Courses
- Data Privacy and Ethics
MS&E 234 (Win) - Networks
MS&E 135 (Win)
- Introduction to Computational Social Science
Stanford Advisees
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Doctoral Dissertation Reader (AC)
Josh Grossman, Yuchen Hu, Zhihao Jiang -
Orals Chair
Chen Li -
Postdoctoral Faculty Sponsor
Zhaonan Qu -
Doctoral Dissertation Advisor (AC)
Izabel Aguiar, Samir Khan -
Doctoral Dissertation Co-Advisor (AC)
Serina Chang -
Master's Program Advisor
Yuxin Chen, Makayta Cole, Selin Koksal, Audrey Nelson, Nirali Sharad Parekh, Diane Sarkis, Marco Tacke, Luke Turner, Jiayu Wu, Yueqiao Zhou -
Doctoral (Program)
Josh Grossman, Yuchen Hu, Brian Morris