About Me
I’m a first year 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 using {Experimental Design, Agent-based Simulation}. For instance, I am curious about the construction of recommendation sets to address the diversity-relevance trade-off.
Working Papers
- 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
- Reshaping of Shopping Time Habits: An Empirical Study from Large Retail Stores
Joonhwae Park, Daegon Cho
Education
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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