Jae-won Chung
Lead at University of Michigan
Ann Arbor, Michigan, United States
Summary
🤩
Rockstar🎓
Top SchoolJae-won Chung is a lead researcher and Ph.D. candidate at the University of Michigan specializing in efficient ML systems and the energy footprint of deep learning, with nine years of experience building research-driven software. He co-founded the ML.ENERGY initiative and leads open-source projects like Zeus (NSDI ’23) and Perseus (SOSP ’24) that measure and optimize deep learning energy consumption. His background includes production-scale GPU cluster tooling and Kubernetes integration from work at Seoul National University and an internship enabling Mixture-of-Experts training at Meta. Combining systems engineering, applied ML, and energy-aware research, he mentors peers and translates academic advances into practical tooling for large-scale ML workloads.
9 years of coding experience
학사 전기정보공학부(Electrical and Computer Engineering), 학사 전기정보공학부(Electrical and Computer Engineering) at Seoul National UniversityPh.D. Computer Science and Engineering, Ph.D. Computer Science and Engineering at University of Michigan
English
Github Skills (192)
python10
vimscript10
energy10
hexo10
lua10
deep-learning10
gpu10
kitty10
compression10
multimodal10
pdf-viewer10
audio10
latex10
falcon10
ai10
Programming languages (20)
Github contributions (5)
ml-energy/leaderboard-v2
Jul 2023 - Nov 2025
A canonical source of GenAI energy benchmark and meausrements
Contributions:1 release, 57 reviews, 20 PRs in 2 years 5 months
genaimachine-learningllmdeep-learningenergy-consumption
jaywonchung/SymbioticLab.github.io
Nov 2021 - Jan 2025
SymbioticLab website
Contributions:95 pushes, 2 branches in 3 years 2 months
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