Jeffrey Ouyang-zhang
Postdoctoral Researcher at Massachusetts Institute of Technology
Greater Boston United States
Summary
👤
Senior🎓
Top SchoolJeffrey 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.
10 years of coding experience
2 years of employment as a software developer
Bachelor’s Degree, Electrical Engineering and Computer Science, Bachelor’s Degree, Electrical Engineering and Computer Science at University of California, BerkeleyDoctor of Philosophy - PhD, CS, Doctor of Philosophy - PhD, CS at The University of Texas at Austin
Github Skills (59)
simulator9
robotics9
starcraft9
protein-structure8
deep-reinforcement-learning8
computer-vision8
reinforcement-learning8
points8
memory-efficient8
pytorch7
bioinformatics7
facebook7
machine-learning7
simultaneous7
deep-learning7
Programming languages (5)
Github contributions (5)
jozhang97/jozhang97.github.io
Jan 2016 - Mar 2025
Contributions:45 pushes, 1 branch in 9 years 3 months
jozhang97/TheInvenireProject
Dec 2015 - Jul 2019
Contributions:13 pushes, 2 branches in 3 years 8 months
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