About Me

I am an Assistant Professor of Information Systems at W. P. Carey School of Business, Arizona State University.

I am interested in studying the policy and societal implications of emerging technologies, with a particular focus on competition, information, and externalities.

I obtained my Ph.D. degree from the Operations, Information and Decisions Department of The Wharton School. Prior to joining ASU, I was an Assistant Professor at NYU Shanghai.

Journal Publications

1. Does Fake News Create Echo Chambers?, with Ken Moon and Senthil Veeraraghavan. [SSRN]
   Forthcoming at Manufacturing & Service Operations Management.
   • Finalist, 2022 INFORMS Service Science Best Cluster Paper Award
   • Media coverage: Knowledge at Wharton
2. Fulfillment by Platform: Competition and Upstream Market Power, with Amandeep Singh and Senthil Veeraraghavan. [link]
   Forthcoming at Operations Research.
   • Earlier version accepted to the 22nd ACM Conference on Economics and Computation (EC'21)
3. Revenue Management in Crowdfunding, with Sergei Savin and Senthil Veeraraghavan. [link]
   Manufacturing & Service Operations Management 25.1 (2023): 200-217.

Peer-Reviewed Conference Papers

1. Escaping the Nash Trap: Structural Estimation and Alignment of Strategic Reasoning in Large Language Models, with Jiannan Xu, Yongkang Duan and Jane Yi Jiang. [link]
   In Proceedings of the Third Annual Conference on Language Modeling (COLM 2026).

Working Papers

1. From Bitcoin Exchange Markets to Mining Resources: Cross-Market Information Transmission and Decentralized Resource Allocation, with Bowen Lou, Chen Jin, Xuyuanda Qi and Liangfei Qiu. [SSRN]
   
2. Deep Causal Inequalities, with Amandeep Singh, Mahdi Morafah and Edvard Bakhitov. [SSRN]
   
3. Bytes and Bets: How Online Forums Shape Risk Attitudes and Returns, with Jisu Cao and Pei-yu Chen. [SSRN]
   
4. Privacy Policy Spillovers across Competing Platforms, with Raveesh Mayya. (draft available upon request)
   
5. AI-mediated Information Design: Belief Updating, Strategic Disclosure, and Persuasion, with Lin Hu, Shuang Gao, Katsiaryna Siamionava and Pei-yu Chen. [SSRN]
   
6. Matching in Labor Marketplaces with Experiential Learning, with Elena Belavina, Karan Girotra and Ken Moon. [SSRN]
   (formerly titled: "Matching in Online Marketplaces when Talent is Difficult to Discern")
   
   • Finalist, 2019 MSOM Student Paper Competition
   • Finalist, 2019 Revenue Management and Pricing (RMP) Section Student Paper Prize
   • Finalist, 2019 IBM (Service Science Section) Best Student Paper Award
7. The Impact of Smart Micromobility on Urban Crime: Evidence from Bike-Sharing Systems, with Wen Ya Shen, Zenan Zhou and Pei-yu Chen. [SSRN]
   
8. The AI Supply Chain: Overproduction in Model Marketplaces, with Jiannan Xu, Wedad J. Elmaghraby and Jane Yi Jiang. (draft available upon request)
   
9. When Recall Makes Consumers Less Selective in Search, with Chongyan Sun, Xinyu Cao and Chenxi Liao. (draft available upon request)
   

Academic Honors and Awards

• Finalist, INFORMS Service Science Best Cluster Paper Award, 2022
• Finalist, MSOM Student Paper Competition, 2019
• Finalist, Revenue Management and Pricing (RMP) Section Student Paper Prize, 2019
• Finalist, IBM (Service Science Section) Best Student Paper Award, 2019
• Wharton Doctoral Fellowship, The Wharton School, 2015 - 2019

Teaching

Instructor:

• Enterprise Data Analytics (Arizona State University, specialized master's)
• Statistics for Business and Economics (NYU Shanghai, undergraduate core)
• Wharton Math Camp (The Wharton School, PhD)

Teaching Assistant:

• Introduction to Operations and Information Management (The Wharton School, undergraduate core)

Miscellaneous

• Notes
• Useful Commands for ASU Sol
• Useful Commands for NYU Shanghai HPC
• A Beamer Template with Wharton School Colors