Changwoo Lee
Graduate Student Research Assistant
Ann Arbor, Michigan, United States
Summary
👤
Senior🎓
Top SchoolChangwoo Lee is a PhD candidate and Graduate Student Research Assistant at the University of Michigan with nine years of experience focused on making deep learning models smaller, faster, and more robust. His research specializes in DNN compression, learnable structural sparsity, and efficient multimodal systems, with internships at Samsung Research America and Google DeepMind that bridge academic rigor and industry-scale challenges. He combines electrical and computer engineering foundations from Hanyang University with practical ML research, often exploring methods that reduce deployment cost without sacrificing accuracy. Known for pursuing efficiency at the algorithm-architecture boundary, he aims to enable resource-constrained and real-world multimodal applications.
9 years of coding experience
Doctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at University of MichiganMaster of Science - MS, Electronics and Computer Engineering, Master of Science - MS, Electronics and Computer Engineering at Hanyang University
English, Korean
Github Skills (12)
openframeworks10
vivado10
fpga-accelerator10
accelerator9
fpga9
vivado-hls8
jekyll3
jekyll-theme3
ruler3
perfect2
triangular2
github-pages1
Programming languages (3)
Github contributions (5)
changwoolee/changwoolee.github.io
Aug 2022 - Feb 2025
A beautiful, simple, clean, and responsive Jekyll theme for academics
Contributions:124 pushes in 2 years 6 months
responsive-jekyll-themeacademicscleanjekylljekyll-theme
changwoolee/lenet5_hls
May 2017 - May 2018
FPGA Accelerator for CNN using Vivado HLS
Contributions:1 release, 62 commits, 2 PRs in 1 year
vivadofpga-acceleratorvivado-hlsopenframeworksaccelerator
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