PhD Candidate · Human-Computer Interaction Lab · University of Maryland, College Park
Hello!
I’m currently a Ph.D. candidate at the University of Maryland, College Park (UMD), and a member of the Human-Computer Interaction Lab (HCIL). I’m advised by Dr. Stephanie Valencia, where I research and build AI-powered computer-mediated communication technology for people with language impairments.
My work encompasses HCI research methods, software development, and computational approaches to analyzing and modeling user behavior. I currently work in the intersection of computing accessibility and Human-AI Interaction, where my doctoral research focuses on the development of user-programmable AI workflows to support communication for people with language disabilities.
I was fortunate to have worked with Dr. Eun Kyoung Choe and Dr. Ivan Lee in examining how self-tracking tools can support goal-setting in stroke rehabilitation. I’ve also worked with Dr. Daniel Epstein and the members of the Personal Informatics Everyday (PIE) lab at UC Irvine on various self-tracking technology research.
I completed my M.S. in Computer Science at the University of California, Irvine, and B.S. in Computer Science and Engineering at Chung-Ang University, Seoul, South Korea.
Links
- Email: jlee29 (at) umd.edu
- Google Scholar
- GitHub
- Curriculum Vitae
Explore
- Publications — peer-reviewed papers
- Research — ongoing research areas
- Tinkering — side projects and experiments
- News — recent updates
Selected publications
- Do-It-Yourself AAC: Co-Designing User-Programmable AI Communication Tools with People with Aphasia (CHI ‘26)
- Design Probes for AI-Driven AAC: Addressing Complex Communication Needs in Aphasia (DIS ‘25)
- GoalTrack: Supporting Personalized Goal-Setting in Stroke Rehabilitation with Multimodal Activity Journaling (IMWUT 2024)
- Understanding and Supporting Self-Tracking App Selection (IMWUT 2021)