Joonhwae Park

Ph.D. student at Goizueta Business School, Emory University

Hi! I’m a Ph.D. candidate in Information Systems at Emory University.

Research Interests

My research focuses on improving how algorithmic systems are designed and evaluated on digital platforms. I am particularly interested in the two-way relationship between users and algorithms: user behavior shapes what a system learns, while the system influences what users see, choose, and engage with over time.

I explore these questions through recommender systems and the broader dynamics of online ecosystems. My work examines how LLMs can enable more realistic evaluations of recommender systems by simulating user responses, how behavioral feedback can improve algorithmic learning, and how fraudulent activity and content manipulation can shape exposure and outcomes for creators. To address these questions, I draw on experimental design, statistical modeling, and simulation.

Education

  • Ph.D. in Information Systems and Operations Management, Emory University
    Aug. 2024 - Present

  • 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