I am a Ph.D. candidiate in quantitative marketing at Simon Business School, University of Rochester. My research has two broad streams:

• Hidden frictions in consumer journeys (e.g., information and search frictions)

• Peer networks/effects (e.g., influencer agencies, sales teams)

Most of my current projects involve collaborations with industry partners from emerging markets like China, India and Bangladesh. Methodologically, I use structural modeling, causal inference and machine learning, complemented by survey and field experiment.

My job market paper studies how firm-provided marketing information amplify consumers’ time cost illusion, and thus contribute to the under-engagement on an online farmer education platform. We build a structural model to quantify this bias, estimate the consumer welfare loss, and evaluate alternative platform designs.