Lucas Nelson
Research Fellow at Ability Biotherapeutics
Montreal, Quebec, Canada
Summary
👤
Senior🎓
Top SchoolLucas Nelson is a research-focused machine learning scientist with a decade of technical experience splitting time between McGill's Computational Genomics Lab and Mila, where he develops generative modeling, stochastic process, and optimal transport methods to scale causal inference of gene regulatory networks. He translates academic advances into biotech impact through a Mitacs-funded collaboration with Ability Biotherapeutics, applying autoregressive (GPT) approaches to design logic-gated antibody candidates and pioneering epitope-clustering strategies. His background spans whole-genome statistical analysis, distributed ML systems optimization, and production engineering, enabling him to bridge rigorous theory with practical model pretraining and deployment. Based in Montreal, Lucas combines deep math and CS training—including an exchange at École Polytechnique—with hands-on drug-discovery ML work, making him equally at home prototyping large language models and interrogating biological sequence evolution.
10 years of coding experience
2 years of employment as a software developer
Exchange Student, Mathematics & Computer Science, Exchange Student, Mathematics & Computer Science at École PolytechniqueM.Sc., Computer Science, M.Sc., Computer Science at McGill University
French, English, Spanish
Github Skills (18)
converter9
markdown9
markup9
commonmark9
pandoc9
haskell8
markup-language8
table-of-contents8
assistive5
to-do5
assistive-technology5
mathematics4
speech3
firefox-addon3
math2
Programming languages (4)
Github contributions (5)
LovelandHighRobotics1977/FRC2016
Jan 2016 - Mar 2016
Contributions:18 commits, 13 pushes in 1 month
lnelson2382/DnDTools
Jan 2017 - Mar 2017
Contributions:12 pushes, 1 branch in 2 months
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