About Me

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

I am passionate in studying the impact of novel technology (e.g., FinTech, AI) on business and society. In my research, I examine various dimensions that arise with the rapid evolution of technology, including market power, polarization, and privacy. My work provides practical insights and recommendations for governing platforms and digital media.

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.

Research

1. Revenue Management in Crowdfunding, with Sergei Savin and Senthil Veeraraghavan. [published version]
   Manufacturing & Service Operations Management 25 (1), 200-217.
2. Does Fake News Create Echo Chambers?, with Ken Moon and Senthil Veeraraghavan. [SSRN]
   
   • Finalist, 2022 INFORMS Service Science Best Cluster Paper Award
   • Media coverage: Who Is Falling for Fake News?
3. Fulfillment by Platform: Competition and Upstream Market Power, with Amandeep Singh and Senthil Veeraraghavan. [SSRN]
   
   • Accepted to the 22nd ACM Conference on Economics and Computation (EC'21)
4. Unraveling Bitcoin's Market Forces: An Empirical and Analytical Investigation of Mining and Exchange, with Bowen Lou, Chen Jin, Xuyuanda Qi and Liangfei Qiu. [SSRN]
   
5. 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
6. Deep Causal Inequalities: Demand Estimation in Differentiated Products Markets, with Edvard Bakhitov, Mahdi Morafah and Amandeep Singh.
   
   • Accepted (as an oral presentation) to the KDD 2021 Workshop: Machine Learning for Consumers and Markets
7. Bytes and Bets: How Online Forums Shape Risk Attitudes and Returns, with Jisu Cao and Pei-yu Chen. [SSRN]
   
8. The Impact of Smart Micromobility on Urban Crime: Evidence from Bike-Sharing Systems, with Wen Ya Shen, Zenan Zhou and Pei-yu Chen. [SSRN]
   
9. Privacy Spillovers across Competing Platforms, with Raveesh Mayya.
   
10. Why Search with Recall May Benefit Sellers, with Chongyan Sun, Xinyu Cao and Chenxi Liao.
    

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