About Me

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

I am passionate in applying and developing data science tools to solve novel challenges in business. Combining causal inference and machine learning methods, my work provides practical insights and recommendations for FinTech, platform design and governance, and digital media. My research has appeared in leading academic journals, and has been recognized with multiple awards.

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: Antitrust and Upstream Market Power, with Amandeep Singh and Senthil Veeraraghavan. [SSRN]
   
   • Accepted to the 22nd ACM Conference on Economics and Computation (EC'21)
4. 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
5. Toward Understanding the Bitcoin Mining and Exchange Markets, with Chen Jin, Bowen Lou, and Liangfei Qiu. [SSRN]
   
6. Deep Causal Inequalities: Demand Estimation in Differentiated Products Markets, with Edvard Bakhitov and Amandeep Singh.
   
   • Accepted (as an oral presentation) to the KDD 2021 Workshop: Machine Learning for Consumers and Markets
7. Privacy Spillovers across Competing Platforms, with Raveesh Mayya.
   
8. The Recall Option in Consumer Search on Two-Sided Platforms, with Chongyan Sun, Xinyu Cao and Chenxi Liao.
   
9. Bytes and Bets: How Online Sports Gamblers Navigate Risk and Return through Online Forum Contents, with Jisu Cao and Pei-yu Chen.
   

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.