Kai Sun
Kai Sun
Ph.D. Candidate in Information Systems
The University of Texas at Dallas
Ph.D. Candidate in Information Systems
The University of Texas at Dallas
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The University of Texas at Dallas
I am a Ph.D. candidate in Management Science, Information Systems Concentration, at the University of Texas at Dallas. I am advised by Professor Vijay Mookerjee. My research interests include Platform Design, Fintech (Social Trading), and Artificial Intelligence, with a primary emphasis on optimizing multi-sided platforms through strategic interventions. I employ Game Theory, Optimization, Machine Learning, and Econometrics, to explore the economic and social impacts of technology.
I am a Ph.D. candidate in Management Science, Information Systems Concentration, at the University of Texas at Dallas. I am advised by Professor Vijay Mookerjee. My research interests include Platform Design, Fintech (Social Trading), and Artificial Intelligence, with a primary emphasis on optimizing multi-sided platforms through strategic interventions. I employ Game Theory, Optimization, Machine Learning, and Econometrics, to explore the economic and social impacts of technology.
I will be joining UF as an Assistant Professor in the ISOM Department in August 2025!
I will be joining UF as an Assistant Professor in the ISOM Department in August 2025!
Upcoming Talks @Bangkok, Thailand
Upcoming Talks @Bangkok, Thailand
[1] “Technological, Operational, and AI-Enhanced Platform Design.”
* Nominated for the WITS 2024 Best Dissertation Proposal Award
[2] “Using Optimization to Augment Structural Estimation: A Reinforcement Learning Approach.”
The 34th Workshop on Information Technologies and Systems (WITS 2024), Dec 2024 (Scheduled).
Recent Talks @Seattle, WA
Recent Talks @Seattle, WA
“Using Optimization to Augment Structural Estimation: A Reinforcement Learning Approach.”
[1] The INFORMS Workshop on Data Science 2024, October 19, 2024, 8 AM, Track A (Room 433).
[2] The Conference on Information Systems and Technology (CIST) 2024, Oct 20, 2024, 7:30 AM, Track 2 (Seattle 2).
* Finalist, the CIST 2024 Best Paper Award
[3] The INFORMS Annual Meeting 2024, Seattle, WA, October 21, 2024, 8 AM, Regency - 607.
* Winner, the INFORMS Annual Meeting 2024 e-Business Section Best Paper Award
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