Jeffrey Ouyang-zhang

Postdoctoral Researcher at Massachusetts Institute of Technology

Greater Boston United States
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Summary

👤
Senior
🎓
Top School
Jeffrey Ouyang-zhang is a postdoctoral researcher and machine learning engineer who develops computational tools to accelerate biological discovery, currently affiliated with MIT and Biohub. With a PhD in Computer Science from UT Austin and a decade of experience spanning research internships at Meta and industry roles at Genesis Therapeutics, he blends cutting-edge ML research with practical biotech applications. His background includes research engineering at Berkeley AI Research and early software roles at LiveRamp and SAP, giving him a rare fluency across experimentation, production systems, and biology-driven modeling. Jeffrey publishes his work publicly (see jozhang97.github.io), reflecting a commitment to reproducible science and open dissemination of ML methods for life sciences.
code10 years of coding experience
job2 years of employment as a software developer
bookBachelor’s Degree, Electrical Engineering and Computer Science, Bachelor’s Degree, Electrical Engineering and Computer Science at University of California, Berkeley
bookDoctor of Philosophy - PhD, CS, Doctor of Philosophy - PhD, CS at The University of Texas at Austin
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Github Skills (38)

starcraft9
protein-structure9
reinforcement-learning8
robotics8
pytorch8
simulator8
artificial-intelligence7
bioinformatics7
machine-learning7
segmentation7
ai7
representations7
python7
computer-vision7
deep-reinforcement-learning7

Programming languages (5)

JavaC++Objective-CJupyter NotebookPython

Github contributions (5)

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jozhang97/dotfiles

Feb 2020 - Feb 2026

Personal configuration files
Contributions:39 pushes in 6 years 1 month
dotfilesconfiguration-filesconfigurationconfig
Contributions:52 pushes, 1 branch in 10 years 7 months
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