Jonathan King
Senior AI Scientist at Absci
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolJonathan King is a Senior AI Scientist in San Francisco with 11 years of experience building generative deep learning methods at the intersection of structural biology and medicine. He holds a PhD from the CMU–Pitt Computational Biology program and has led novel all-atom protein structure prediction work, including extensions to AlphaFold and the open-source SidechainNet package that accelerates protein ML research. At Absci he focuses on generative AI for antibody design, translating academic advances into therapeutic discovery. His background includes industry research at Google Brain and practical clinical-focused ML at UCSF, giving him a rare blend of production-minded and hypothesis-driven research experience. Jonathan’s work emphasizes improving physical realism in model predictions through innovative training procedures and loss functions—skills that help bridge molecular simulation insights with data-driven design. He’s driven by applying cutting-edge AI to advance medical science in ways that materially speed up biologics discovery.
11 years of coding experience
2 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at University of California, BerkeleyBachelor's degree Bioengineering, Bachelor's degree Bioengineering at UC Berkeley College of EngineeringDoctor of Philosophy - PhD Joint Program in Computational Biology, Doctor of Philosophy - PhD Joint Program in Computational Biology at University of Pittsburgh School of MedicineDoctor of Philosophy - PhD Joint Program in Computational Biology, Doctor of Philosophy - PhD Joint Program in Computational Biology at Carnegie Mellon University School of Computer Science
Github Skills (86)
python10
deep-learning10
gpu10
sequence-to-sequence10
computational-biology10
structural-biology10
pretrain10
ai10
jax10
artificial-intelligence10
data-science10
dynamics10
tensorflow10
pytorch10
machine-learning10
Programming languages (10)
Github contributions (5)
jonathanking/openfold
Oct 2022 - Nov 2023
A fork of OpenFold that allows AF2 training with force fields
Contributions:4 PRs, 349 pushes, 5 branches in 1 year 1 month
pytorchmemorygpualphafoldreproduction
jonathanking/sidechainnet
Mar 2020 - Jan 2023
An all-atom protein structure dataset for machine learning.
Contributions:19 releases, 24 reviews, 797 commits in 2 years 10 months
machine-learningprotein-structurestructural-biologydeep-learningdataset
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