Jae-won Chung
Lead at ML.ENERGY
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.
8 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 (200)
language-model10
vimscript10
compression10
pdf-viewer10
llmops10
xpu10
nlp10
vte10
llama10
terminfo10
filter10
viewer10
mixture-of-experts10
llm10
bert10
Programming languages (19)
Github contributions (5)
jaywonchung/SymbioticLab.github.io
Nov 2021 - Jan 2025
SymbioticLab website
Contributions:95 pushes, 2 branches in 3 years 2 months
ml-energy/ml-energy.github.io
Aug 2022 - Nov 2022
Source for the ML.ENERGY homepage
Contributions:4 reviews, 26 commits, 3 PRs in 3 months
energy-consumptionpower-consumptionpythondata-sciencedeep-learning
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