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: 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.