Jonathan Colen
Research Assistant Professor at Old Dominion University
Norfolk, Virginia, United States
Summary
👤
Senior🎓
Top SchoolJonathan Colen is a research-focused data scientist and Research Assistant Professor who builds interpretable AI models to connect machine learning with physical, environmental, and social systems. With nine years of experience spanning PhD-level research at the University of Chicago and hands-on projects at national labs, he has scaled pipelines for terabyte-scale microscopy and distilled neural networks into compact, physics-based equations that retain strong predictive power. He combines expertise in deep learning, dimensionality reduction, and sparse regression with production-oriented skills in HPC pipelines and automated training on Slurm clusters. Notably, he led a team that reduced a neural model by 100,000x in parameter count while preserving 77% accuracy, demonstrating a talent for turning complex models into interpretable, efficient tools. Based in Norfolk, VA, he blends academic rigor with applied problem-solving across health, environmental, and physical science domains.
9 years of coding experience
7 years of employment as a software developer
Thomas Jefferson High School for Science and TechnologyDoctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at University of ChicagoBachelor of Science (B.S.), Computer Science, Physics, Bachelor of Science (B.S.), Computer Science, Physics at University of Virginia
German, English
Github Skills (16)
machine-learning10
deep-learning10
gpu10
pint10
python10
numpy9
tensorflow9
neural-network9
tensor8
acceleration8
autograd8
gpu-acceleration8
pulsar8
libgit24
visualization4
Programming languages (3)
Github contributions (5)
jcolen/ML_ActiveNematics
Nov 2020 - Jan 2025
Code repository for ArXiv:2006:13203
Contributions:3 releases, 4 PRs, 6 pushes in 4 years 3 months
jcolen/kelvinmach
Jun 2018 - Dec 2020
Contributions:27 commits, 8 pushes in 2 years 5 months
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