
Tauhid is an Associate Professor of Operations Management at the Yale School of Management. He received his BS, MEng, and PhD degrees in electrical engineering and computer science from the MIT Sloan School of Management.
His research focuses on solving operational problems involving social network data using probabilistic models, network algorithms, and modern statistical methods. Some of the topics he studies in the social networks space include predicting the popularity of content, finding online extremists, and geo-locating users.
His broader interests cover data driven approaches to investing in startup companies, non-traditional choice modeling, algorithmic sports betting, and biometric data.
His work has been featured in the Wall Street Journal, Wired, Mashable, the LA Times, and Time Magazine.
Expertise
Education
- PhD, Massachusetts Institute of Technology, 2011
- MEng, Massachusetts Institute of Technology, 2005
- BS, Massachusetts Institute of Technology, 2004
Selected Articles
Working Papers
Mitigating the Backfire Effect Using Pacing and Leading
Opinion Dynamics with Stubborn Agents
Penetrating a Social Network: The Follow-back Problem
Editorships
- Associate Editor Operations Research