I am a PhD candidate in Marketing at UCLA Anderson School of Management. My research interests are in Quantitative Marketing and Empirical Industrial Organization, with a substantive focus on economics of digitization, user-generated content, platform policy and innovation. I aim to use a combination of causal inference, structural models and state-of-art machine learning methods to inform marketing and policy decision making. I obtained my BA in Economics and Statistics with honors from University of Michigan - Ann Arbor in 2017.
I am excited to share that I will join Michigan State University as an Assistant Professor of Marketing in August 2023.