Agentic AI
Building lightweight, efficient AI agents that act on behalf of users, further adapting to individual preferences.
AI Researcher | Agentic AI & On-device AI
Hi, I'm a graduate student at the Ubiquitous AI Lab, advised by Prof. Taesik Gong. I'm interested in two research directions: agentic AI, building lightweight, efficient agents that can further adapt to individual users, and on-device AI, bringing powerful models to resource-constrained edge devices. Ultimately, I hope to help democratize AI by making it efficient enough to fit seamlessly into everyday life.
Building lightweight, efficient AI agents that act on behalf of users, further adapting to individual preferences.
Designing efficient models and optimizations that run powerful AI directly on resource-constrained edge devices.
Combined M.S./Ph.D. in Computer Science and Engineering
B.S. in Computer Science and Engineering
Researching on on-device AI and agentic AI
Researching on agentic AI
Researching on agentic AI
In Preparation
Planned