Nathaniel Stanley is an Associate Director at insitro with over a decade of experience at the intersection of biology, computation, and engineering. Trained in biochemistry (NYU) and holding a PhD in Biomedicine from Universitat Pompeu Fabra, he moved from experimental biophysics into machine learning-driven analysis of large biological datasets during his doctorate and postdoctoral work. His career spans research roles at Genentech and Gilead and product-focused development at startups, where he designed hardware to translate discoveries into manufacturable technologies. At insitro he combines scientific rigor with practical engineering to accelerate drug discovery pipelines. Known for bridging lab bench, code, and manufacturing, he brings a rare blend of wet-lab intuition and computational fluency to complex, translational problems.
11 years of coding experience
13 years of employment as a software developer
Bachelor of Arts (B.A.) Biochemistry, Bachelor of Arts (B.A.) Biochemistry at New York University
Doctor of Philosophy (Ph.D.) Biomedicine, Doctor of Philosophy (Ph.D.) Biomedicine at Universitat Pompeu Fabra
English, Spanish
Stackoverflow
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Github Skills (95)
python10
ubuntu10
deep-learning10
gpu10
pdb-files10
chemistry10
cheminformatics10
biology10
irc-server10
rdkit10
discovery10
simulation10
drug-discovery10
machine-learning10
numpy9
Programming languages (7)
JuliaC++JavaScriptHTMLJupyter NotebookRich Text FormatPython
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