Members

Meet our members driving FlexML's mission to make machine learning faster and more memory-efficient.

Principal Investigator
insuhan

Insu Han

Assistant Professor, KAIST EE

Insu Han received his B.S., M.S., and Ph.D. degree from KAIST EE, advised by Jinwoo Shin. In 2019, he was a recipient of Microsoft Research Asia Fellowship. In 2024, with Amin Karbasi and Amir Zandieh, he was selected as a recipient of 2024 Roberts Innovation Fund Award for research on making AI more powerful and cost-effective. Before joining KAIST, he was an Applied Scientist at Adobe Firefly, and a Postdoctoral Fellow at the Yale Institute for Foundations of Data Science (FDS). He is currently Visiting Faculty Researcher at Google Research.

Research Interests: Efficient ML, Model Compression, Quantization, LLM Optimization, Hardware-aware AI
Office: N1 917, KAIST, Daejeon, South Korea
Phone: +82-42-350-7477

Email Google Scholar Homepage CV
M.S. Students
SJC
Seongjin Cha
M.S. Student (1st Year)
Self-speculative Decoding, Quantization
LQC
Langqing Cui
M.S. Student (1st Year)
KV Cache, Diffusion Language Models
JHS
Jihwan Shin
M.S. Student (1st Year)
Diffusion Language Models, DNA Foundation Models
Undergraduate Students
HSL
Haesung Lee
Vision-Language-Language Model Quantization