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Yuan Yuan

Yuan Yuan

Assistant Professor
Management Information Systems


Ph.D., Social & Engineering Systems & Statistics, MIT, 2021
B.Eng., Computer Science, Tsinghua University, 2016
B.A., Economics, Tsinghua University, 2016


Yuan Yuan is a computational social scientist and an assistant professor at the Krannert School of Management (MIS area) at Purdue University. He is also a research fellow of the MIT Connection Science and the MIT Initiative on the Digital Economy. His research focuses on (1) leveraging big data and advanced computational techniques (e.g., machine learning and causal inference) to study online social interactions and social networks; and (2) developing computational techniques that combine machine learning and causal inference, with applications to online field experiments (a.k.a A/B testing). Before coming to Purdue, he did my Ph.D. in the Institute for Data, Systems, and Society (IDSS) at Massachusetts Institute of Technology, and received his Bachelor's degrees in Computer Science and Economics from Tsinghua University.

Journal Articles

  • Yuan, Yuan, Kristen Altenburger, & Farshad Kooti (2021). Causal Network Motifs: Identifying Heterogeneous Spillover Effects in A/B Tests.. Proceedings of the Web Conference (WWW), | Related Website |
  • Yuan Yuan, Ahmad Alabdulkareem & Alex ‘Sandy’ Pentland (2018). An interpretable approach for social network formation among heterogeneous agents. Nature Communications, | Related Website | Download |

Office: KRAN 709

Quick links

Personal website

Area(s) of Expertise

social networks, causal inference, experimental design, machine learning