Research

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

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

Using Contextual Embeddings to Predict the Effectiveness of Novel Heterogeneous Treatments, with Paul B. Ellickson, Wreetabrata Kar, and James C. Reeder, III. (Chapter 1 of My PhD Dissertation, Minor Revision at Journal of Marketing Research)

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

When Linear IV Estimator Fails: Avoiding Pitfalls in Causal Effect Estimation in Targeted Marketing, Ziyao Tang and Paul B. Ellickson.

Deep Learning-based Estimation of Dynamic Discrete Choice Models with an Application to the Expansion of Walmart, with Paul B. Ellickson.

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

Coupling Statistical Decision Theory with AI to Improve Personalized Healthcare, with Liujie Qian, Qiang Liu, and Siyi Yu.

Utilization of Healthcare: The Role of Pharmacies, with Liujie Qian, Qiang Liu, and Siyi Yu.

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

Learning to Collaborate, with Yulin Hao and Liuyi Ye.