About Me
I’m a Ph.D. student in Information Systems at Emory University.
Research Interests
My research interest lies at the intersection between societal and technical aspects of the real world. In terms of methodologies, I focus on integrating Machine Learning with Causal Inference. Specifically, I’m interested in considering multiple modalities together to uncover novel features that can explain the mechanism of human decision-making within the context of {E-commerce, Online Platform}. Additionally, I am passionate about exploring Recommender Systems through {Experimental Design, Agent-based Simulation}. Currently, I am particularly interested in 1) improving evaluation methods and 2) enhancing negative sampling techniques.
Working Papers
- Examining the Role of Generative AI in Recommender Systems
(with Panagiotis (Panos) Adamopoulos, Vilma Todri)- John E. Robson Grant ($5,500)
- Google Cloud Research Grant ($1,000)
- When Does Text Boost Images: An Empirical Investigation of the Dynamics of Information
Joonhwae Park, Daegon Cho, Donghyuk Shin- WISE 2023, CIST 2024, ICIS 2024
- Best Thesis Award 2024, KAIST
Education
-
M.S. in Managment Engineering, Korea Advanced Institute of Science and Technology (KAIST)
Mar. 2022 - Feb. 2024 -
B.S. in Business Administration & B.S. in Industrial Engineering, Hanyang University
Mar. 2018 - Feb. 2022 - (Cum Laude)
Work Experiences
- Intern, MiraeAsset Global Investment, Seoul, South Korea, Oct. 2021 - Dec. 2021
- Robo-Advisor Team, AI Financial Engineering Division
- Intern, NCSOFT, Seongnam, South Korea, Feb. 2021 - Apr. 2021
- Language Data Team, Language AI Lab in R&D Center
- Intern, Daishin Economic Research Institute, Seoul, South Korea, Jun. 2020 - Aug. 2020
- Corporate Governance Research Division