About me

I am a Ph.D. student in Computer Science at Iowa State University, advised by Christopher J. Quinn. My research is on Bayesian optimization, Gaussian processes, and preference learning with humans in the loop.

My current work focuses on approximate inference methods for preferential Gaussian processes, which learn latent utility functions from human choice feedback, with applications to preference-based Bayesian optimization. I am also working on uncertainty quantification–based fine-tuning for large language models.

Before Iowa State, I received my B.S. in Computer Engineering from Kwangwoon University in Seoul, Korea, where I worked in the Computer Communications Lab on GAN-based data augmentation for object detection. That work led to a first-author journal paper in Sensors and a registered Korean patent.

You can download my CV here.

I am looking for research / applied scientist internships for Summer 2027. If you think I’d be a good fit, please email me.

Research interests

• Bayesian optimization and Gaussian processes
• Preference learning and human-in-the-loop optimization
• Approximate Bayesian inference
• Uncertainty quantification for large language models

News

• Aug 2026: Teaching assistant for Principles of AI (COMS 4720/5720) again, leading two recitation sections.
• Feb 2026: My Korean patent on GAN-based fire data augmentation (KR 10-2931826) was registered.
• Jan 2026: I started as a teaching assistant for Principles of AI (COMS 4720/5720) at Iowa State.