Gregory Johnson
Research at EvolutionaryScale
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolGregory Johnson is a computational biologist-turned-machine-learning leader with a decade of experience applying generative models and data-driven prediction to biology and media. He co-founded and led ML at NewLimit to pursue epigenetic reprogramming therapeutics, and prior to that led special projects at Amazon focused on neural rendering, audio–video retargeting, and sequence engineering. At the Allen Institute he advanced generative modeling for cell science and co-invented 3D label-free microscopy, bridging experimental design and predictive modeling. Now based in San Francisco and working in research at EvolutionaryScale, he combines deep academic training (PhD, CMU) with product-focused ML at scale, and a curiosity for creative computing and mathematics that informs both scientific and generative-media applications.
10 years of coding experience
6 years of employment as a software developer
Undeclared Engineering, Undeclared Engineering at Michigan Technological UniversityBS Bioengineering, BS Bioengineering at California Lutheran UniversityDoctor of Philosophy (Ph.D.) Computational Biology, Doctor of Philosophy (Ph.D.) Computational Biology at Carnegie Mellon University
Github Skills (5)
telegram-bot4
generative3
telegram3
react2
generative-art1
Programming languages (1)
Github contributions (5)
Muddy-CF/yosho
Jan 2018 - Mar 2018
Contributions:2 PRs, 281 pushes, 11 branches in 2 months
telegramtelegram-botbot
GregTJ/stable-fluids
Mar 2020 - May 2021
Contributions:41 commits, 40 pushes, 5 branches in 1 year 1 month
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