Ph.D. Candidate in Marketing
Isamar is a Ph.D. Candidate in Marketing, specializing in quantitative research. Her research focuses on digital platforms, and combines econometrics methods for causal inference with machine learning methods for unstructured data and prediction.
Ph.D. Candidate in Data Sciences and Operations
Patrick is a statistics Ph.D. candidate in the Data Sciences and Operations department in the Marshall School of Business. He is interested in causal inference, non-parametric statistics, and feature selection.