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Hello all, I'm a Ph.D. student at UT Austin, co-advised by Prof. Aditya Akella, and Prof. Atlas Wang. Previously, I was fortunate to be advised by Prof. Vijay Chidambaram during the early years of my Ph.D. My research focuses on AI algorithm-system co-design for scaling out ML training and inference. I'm also participating in some exciting works under the Learning-directed Operating System expedition.
During Ph.D study, I did research internships at HP Labs and Meta. I am a 2024 IBM PhD Fellowship winner 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.
News!
News!
[May. 2025] 📝 Our paper on Adaptive serving framework with Dual-state Linear Attention (DSLA) has been accepted to ICML'25! See you in Vancouver!
[Mar. 2025] 📝 Our paper on Guardrails for learned OS policy has been accepted to HotOS XX! See you in Banff! 🏔️
[Jan. 2025] 📢 I'll join Microsoft Azure System Research Group as a research intern this summer. So excited! 🤩
[Jan. 2025] 🏅Happy to announce that I have won the IBM PhD Fellowship! All thanks to my advisors and collaborators! Covered in UT CS News 🧡
Research Interests
Research Interests
Computer systems - Systems for ML, AI Algorithm-System Co-design, Learned systems, Computing Acceleration
Deep learning - Distributed ML, Scalable ML, Efficient ML
AI for systems - System Data Representation, Learning-directed Operating System
Education
Education
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)
M.Sc in Computer Science (Advisor: Prof. John Kim)
Sep. 2015 - Feb. 2018
Korea Advanced Institute of Science and Technology (KAIST)
B.Sc in Computer Science
Feb. 2010 - Feb. 2014
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