Jaden Long
Graduate Research Assistant
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolJaden Long is a computational biology PhD student and graduate research assistant with nine years of research experience at institutions including Duke and Memorial Sloan Kettering, focused on interpretable AI for molecular binding and clinical language models. He co-authored a PLOS Computational Biology paper on an interpretable binding-affinity method (PATH) that leverages persistent homology, and his work has been highlighted for making drug discovery more transparent. Combining a dual background in mathematics and computer science from Duke with hands-on wet-lab and biotech club leadership, he bridges algorithmic rigor and biological intuition. Based in New York, he contributes to LLM applications for health records in the Justin Jee lab while pursuing computational biology training at Weill Cornell, and he describes himself playfully as an "amateur biologist," signaling a continued curiosity beyond formal credentials.
9 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Computational Biology, Doctor of Philosophy - PhD, Computational Biology at Joan & Sanford I. Weill Medical College of Cornell UniversityBachelor's degree, Mathematics and Computer Science, Bachelor's degree, Mathematics and Computer Science at Duke UniversityHigh school, High school, High school, High school at McCallie School
Github Skills (92)
python10
deep-learning10
gpu10
machine-learning10
numpy9
gulp9
acceleration9
neural-network9
tensor9
unet-image-segmentation9
gpu-acceleration9
tensorflow9
computer-vision8
torchvision8
datasets8
Programming languages (10)
Github contributions (5)
longyuxi/2019-genas_china-website
Jun 2019 - Jul 2019
Contributions:19 commits, 4 pushes in 23 days
longyuxi/dew-lover
Sep 2020 - Jun 2023
Contributions:81 pushes, 1 branch in 2 years 9 months
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