Ph.D. Candidate in Data Sciences and Operations
Simeng Shao is a PhD student in the Data Science and Operations department in the Marshall School of Business. She previously studied Statistics at Renmin University of China. Her research interests are High-dimensional Data Analysis and Functional Data Analysis.
Ph.D. Student in Marketing
Tal Shoshani is a first-year Ph.D. student in Marketing. In his research, Tal utilizes econometric, machine learning, and network analysis tools to uncover patterns of consumer and market behavior revealed in large-scale, unstructured consumer mobility data. He has presented his work at the Marketing Science Conference, Interactive Marketing Research Conference (IMRC), International Conference on Information Systems (ICIS), Conference on Information Systems and Technology (CIST), Symposium on Statistical Challenges in Electronic Commerce Research (SCECR), and the Digital Economy Workshop.