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, Under 3rd Round Review at Journal of Marketing Research)

Data Valuation in Marketing Collaborations, with Ziyao Tang and Paul B. Ellickson. (Wharton AI & Analytics for Business Data Grant, Revise and Resubmit at Management Science)

The Dynamics of Retail Oligopoly, with Arie Beresteanu, Paul B. Ellickson, Sanjog Misra, and James C. Reeder, III. (Revise and Resubmit at Management Science)

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

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. 

Variational Inference and Deep Learning-based Estimation for Stationary Dynamic Discrete Choice Models, with Paul B. Ellickson.

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.