Ph.D. Student in Marketing
Tal Shoshani is a second-year Ph.D. student in Marketing. In his research, Tal utilizes econometric and machine learning tools to uncover consumer and market behavior patterns revealed in large-scale, unstructured consumer mobility data. He also develops methodologies to balance consumer privacy with marketing insights. Tal has presented his work at the Marketing Science Conference, Interactive Marketing Research Conference, International Conference on Information Systems, Conference on Information Systems and Technology, Symposium on Statistical Challenges in Electronic Commerce Research, Munich Summer Institute, and the Digital Economy Workshop.