Matt Zhang
Software Engineer at Meta
Champaign, Illinois, United States
Summary
👤
Senior🎓
Top SchoolMatt Zhang is a software engineer and applied machine learning researcher with a decade of experience building and deploying high-impact models across physics, cybersecurity, and large-scale production systems. He has led teams and shipped code used at CERN’s ATLAS detector, national labs, and even in space, and most recently led reinforcement-learning efforts at SimSpace before joining Meta. His background blends deep domain research (PhD in Physics) with hands-on firmware, FPGA, and edge deployment experience, including Verilog track-finding and radiation-tested silicon detector work. He’s skilled in TensorFlow and PyTorch, has published in international journals, and has applied ML to everything from lepton ID to autonomous cyberattack agents. Based in Champaign, IL, he’s equally comfortable mentoring and teaching—having developed and taught an introductory ML course in a correctional facility—and brings a knack for turning complex physics problems into production-ready software.
9 years of coding experience
13 years of employment as a software developer
Bachelor's degree, Physics, Bachelor's degree, Physics at The University of Texas at AustinUniversity of Illinois Urbana-Champaign
Chinese
Github Skills (42)
detector9
tracks9
particle8
audio7
pause6
lua6
file-explorer6
responsive6
music5
cpp5
physics5
neovim5
big-data5
css5
foundation5
Programming languages (9)
Github contributions (5)
BucketOfFish/LeptonIsolation
Feb 2018 - Aug 2020
Using RNN to perform lepton isolation in an HEP environment when given a lepton and surrounding tracks
Contributions:28 PRs, 270 pushes, 2 branches in 2 years 6 months
isolationrnnheptrackslepton
MattUnderscoreZhang/Triforce_CaloML
Feb 2018 - May 2022
Contributions:1 release, 298 commits, 1 PR in 4 years 3 months
physicsparticlepythonparticle-detectorlearning-tool
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