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Tauhid Zaman is an Associate Professor at the Yale School of Management, specializing in Operations Management. He received his Bachelor of Science, Master of Engineering, and PhD degrees in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology (MIT). His research primarily focuses on solving operational challenges utilizing social network data through probabilistic models, network algorithms, and modern statistical techniques. Among the specific topics he examines in the social network domain are predicting content popularity, identifying online extremists, and geo-locating users. Additionally, his broader research interests include data-driven approaches to investing in startup ventures, non-traditional choice modeling, algorithmic sports betting, and biometric data analysis. His contributions to the field have been featured in prominent publications such as The Wall Street Journal, Wired, Mashable, and the Los Angeles Times.
Administered via the Graduate School of Arts and Sciences (GSAS). GRE General is optional for PhD.