Research

Evaluating Novel Unstructured Treatments with Generative AI: A Causal Prediction Framework, with Paul B. Ellickson, Wreetabrata Kar, and James C. Reeder, III. (Chapter 1 of My PhD Dissertation, Forthcoming at Journal of Marketing Research)

Data Valuation in Marketing Collaborations, with Ziyao Tang and Paul B. Ellickson. (Wharton AI & Analytics for Business Data Grant, Under 2nd Round Review at Management Science)

The Dynamics of Retail Oligopoly, with James C. Reeder, III, Arie Beresteanu, Paul B. Ellickson, and Sanjog Misra. (Under 2nd Round Review at Management Science)

Deep Learning-based Estimation of Dynamic Discrete Choice Models with an Application to the Expansion of Walmart. (Chapter 2 of My PhD Dissertation)

Variational Inference and Deep Learning-based Estimation for Stationary Dynamic Discrete Choice Models.

Designing Cancellation/Return Policy for Perishable and Capacity-Constrained Products, with Paul B. Ellickson and Yufeng Huang.

Transparency and Hostility: The Unintended Effects of Geographic Disclosure on Online Identity Attacks, with Ziyao Tang and Huaxia Rui. 

Targeting as Exploration, with Ziyao Tang and Paul B. Ellickson.

Learning to Collaborate, with Yulin Hao and Liuyi Ye.

Inference on Unstructured Data, with Yingjie Feng and Ziyao Tang.