Nicolas Masse
Senior Machine Learning Scientist at Deep Genomics
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolNicolas Masse is a Senior Machine Learning Scientist with nine years of experience building ML systems that bridge neuroscience, biotech, and consumer AR/VR. He has translated neural and biosignal data into actionable models—from EMG-driven digital commands at Meta Reality Labs to generative small-molecule design at Kebotix—and now focuses on uncovering mechanisms of Alzheimer’s and neuropsychiatric disorders. His work spans academia and industry, with a strong track record of biologically grounded modeling developed during long-form research at McGill, UChicago, Caltech, and Mount Sinai. Nicolas combines principled computational neuroscience (including published contributions on working memory and plasticity) with practical deployment experience in translational biotech. Colleagues describe him as equally comfortable designing experiments, developing novel algorithms, and moving research toward therapeutic insight.
9 years of coding experience
14 years of employment as a software developer
MSc, Mathematical Physics, MSc, Mathematical Physics at The University of EdinburghBSc, Mathematics, BSc, Mathematics at Queen's UniversityPhD, Physiology, PhD, Physiology at McGill University
English, French
Github Skills (8)
deep-learning6
tensorflow5
recurrent4
hidden3
machine-learning2
reinforcement-learning2
deep-reinforcement-learning2
neural-network1
Programming languages (1)
Github contributions (5)
DiseaseNeuroGenomics/perceiver
Jun 2023 - Mar 2025
Contributions:100 pushes, 1 branch in 1 year 9 months
nmasse/Context-Dependent-Gating
Jan 2018 - Sep 2020
Contributions:42 commits, 34 pushes, 3 branches in 2 years 8 months
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