Tauhid Zaman

Tauhid Zaman is an Associate Professor of Operations Management at the Yale School of Management. His research focuses on solving operational problems involving social network data using probabilistic models, network algorithms, and modern statistical methods. Topics 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 several major media outlets, including the Wall Street Journal and Time Magazine.

Tauhid Zaman is an Associate Professor of Operations Management at Yale School of Management, specializing in Social Data Analytics. His research focuses on understanding information diffusion, rumor detection, and the impact of bots and disinformation in social networks. He explores how social dynamics influence the spread of misinformation and the role of network structures in shaping public opinion. His work includes developing models for predicting tweet popularity, identifying rumor sources, and analyzing the behavior of online communities. Zaman's research also examines the implications of social media on political polarization and misinformation sharing. His publications highlight the intersection of data science and social behavior, offering insights into the mechanisms of information propagation and the challenges of maintaining trust in digital environments.