Nathan Lazar

Director Of Computational Biology

Old Toronto, Ontario, Canada
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Summary

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Senior
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Nathan Lazar is a Machine Learning Engineer and PhD-trained computational biologist with 11 years of experience applying ML to drug discovery and cellular biology. He has led and scaled multidisciplinary teams across multiple countries at Recursion Pharmaceuticals, translating cutting-edge research into operational programs and partner collaborations. His work spans multimodal cellular imaging, transcriptomics and functional assays to build actionable maps of human cellular biology that advance internal assets and external partnerships. Nathan combines hands-on technical depth with leadership, having progressed from research data scientist to senior director-level roles while still shipping methodological innovations. An early career full-stack of roles—from math instructor to startup co-founder—gives him a pragmatic, systems-minded approach to problem solving and team enablement. Based in Toronto, he is motivated by using ML to find new treatments and by bridging academia-grade research with product-focused drug discovery pipelines.
code11 years of coding experience
job10 years of employment as a software developer
bookDoctor of Philosophy (Ph.D.), Bioinformatics & Computational Biology, Doctor of Philosophy (Ph.D.), Bioinformatics & Computational Biology at Oregon Health & Science University
bookMaster of Science, Mathematics, Master of Science, Mathematics at Portland State University
bookBachelor of Science from the Honors Tutorial College, Mathematics, Bachelor of Science from the Honors Tutorial College, Mathematics at Ohio University
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Stackoverflow

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Github Skills (4)

bayesian8
factorization7
machine-learning4
tensor2

Programming languages (1)

Jupyter Notebook

Github contributions (5)

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nathanlazar/APE_METH_bin

Feb 2015 - Apr 2018

Contributions:16 commits, 14 pushes in 3 years 1 month
nathanlazar/BaTFLED3D

Dec 2016 - Oct 2017

Contributions:81 commits, 6 PRs, 92 pushes in 10 months
tensor-factorizationfactorizationmachine-learningdimensionaltensor
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