Sung Oh

Hi, I'm Sung Oh!

I'm a Computer Science student at Virginia Tech with a 3.89 GPA conducting HCI research at the Tech on the Trail Lab and IDEEAS Lab. My work focuses on applying LLMs and NLP to CS education. My work has been presented at ACM CHI, ACM CSCW, and IEEE FIE. I have industry experience as a software engineering intern at Fasoo, where I developed a real-time speech-to-text system, and as an AI Research Assistant at Abear, building content generation pipelines with vision models. I'm proficient in Python, JavaScript/TypeScript, and ML frameworks.

Recent Publications

Conference Proceedings
FIE

Optimizing Diary Studies Learning Outcomes with Fine-Tuned Large Language Models on the DiaryQuest Platform

Sunggyeol Oh, Jiacheng Zhao, Carson Russo, Michael Bolmer Jr, Jihoo Jeong, Jixiang Fan, Yusheng Cao, Wei Lu Wang, Natalie Andrus, and Scott McCrickard

Proceedings of the IEEE Frontiers in Education Conference (To Appear), 2025

Lightly Reviewed
CSCW

Structuring Collaborative Reflection: Integrating Diary Study and Focus Group Discussion

Jixiang Fan, Jiacheng Zhao, Sunggyeol Oh, Michael Bolmer Jr, Yoonje Lee, Nick Flammer, Yuhao Chen, and D. Scott McCrickard

Companion Publication of the 2025 Conference on Computer-Supported Cooperative Work and Social Computing (To Appear), 2025

Lightly Reviewed
CHI

Boosting Diary Study Outcomes with a Fine-Tuned Large Language Model

Sunggyeol Oh, Jiacheng Zhao, Carson Russo, and Michael Bolmer Jr

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2025