Hello all, I'm a Ph.D. student at UT Austin, co-advised by Prof. Aditya Akella, and Prof. Atlas Wang. My research focuses on AI algorithm-system co design, systems for AI, and AI for systems. I'm also participating in some exciting works under the Learning-directed Operating System expedition and Infra AI Center.
During Ph.D study, I did research internships at Microsoft Azure Research, Meta, and HP Labs. I was named a 2026 MLCommons ML and Systems Rising Star, 2024 IBM PhD Fellow, and a finalist for the 2024 Qualcomm Innovation Fellowship. I received UT College of Natural Science Dean's Strategic Excellence Fellowship in 2021.
Prior to joining UT, I studied computer architecture at KAIST under the guidance of Prof. John Kim. I worked at Samsung Research On-device Lab on NPU design and model optimization for edge AI.
📢 I am currently looking for 1–2 undergrad/MS students who are interested in agent memory and failure research. Feel free to reach out if you are looking for a research opportunity!
[Jul. 2026] 📝 Our paper on learning-based flexible CPU scheduler is accepted to NSDI'27!
[May. 2026] 🏆 Selected as a 2026 MLCommons ML and Systems Rising Star!
Systems for AI - Agent-ready systems, Algorithm-System co-design, Agentic systems and workflows
AI for systems - Automated system design, Policy synthesis and optimization, Uncertainty-aware system models
Machine learning - Decision-making under uncertainty, Efficient and distributed ML
The University of Texas at Austin
Ph.D. in Computer Science (Advisor: Prof. Aditya Akella, Prof. Atlas Wang)
Sep. 2021 - Present
Korea Advanced Institute of Science and Technology (KAIST)
B.Sc, M.Sc in Computer Science (Advisor: Prof. John Kim)
Feb. 2018