Jason Yim
Consultant at Xaira Therapeutics
Cambridge, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolJason Yim is a consultant and AI scientist with a decade of experience at the intersection of machine learning, computational biology, and scalable production systems. He has contributed to protein-focused science teams at DeepMind, NVIDIA, and Xaira Therapeutics, and blends deep research (PhD-level work at MIT) with practical engineering—shipping features at Instagram and building cloud benchmarking and distributed tools at Microsoft. Known for translating complex scientific models into deployable solutions, he has hands-on experience across neurodata-scale imaging, generative protein modeling, and AI4Science internships. Based in Cambridge, MA, he pairs academic rigor from Johns Hopkins and MIT with product-minded impact, such as cost-saving infrastructure changes and measurable growth experiments. An understated strength is his ability to move between low-level system design and cutting-edge biological modeling, making him effective in translational AI roles.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Massachusetts Institute of TechnologyJohns Hopkins UniversityHigh School, High School at Meadowdale High School
Github Skills (45)
python9
machine-learning9
gpu9
deep-learning9
sparse8
classification8
graph-convolutional-networks8
numpy8
projection8
pytorch8
neural-network8
r7
geometric-deep-learning7
tensor7
acceleration7
Programming languages (3)
Github contributions (5)
jaym910/memory_neuralnet
Nov 2015 - Dec 2015
Contributions:23 commits in 10 days
jasonkyuyim/se3_diffusion
Feb 2023 - Mar 2023
Implementation for SE(3) diffusion model with application to protein backbone generation
Contributions:3 reviews, 20 commits, 3 PRs in 27 days
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