Grant Watson
Senior Machine Learning Scientist at Recursion
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolGrant Watson is a Senior Machine Learning Scientist with 13 years of experience applying ML and computational methods to drug discovery and biophysics. With an MScAC in Applied Computing and a strong foundation in physics and mathematical physics, he bridges rigorous numerical modeling and practical ML engineering across startups and industry labs, now at Recursion. His background spans condensed-matter theory, computer vision, and experimental data acquisition, giving him an unusual fluency in both hardware-adjacent instrumentation code and production ML systems. He consistently moves research ideas toward deployable workflows, having built models and tooling at Dewpoint Therapeutics and Phenomic AI. Based in Toronto, he combines academic teaching experience with hands-on implementation, often surfacing subtle numerical issues early in projects to improve model robustness.
13 years of coding experience
8 years of employment as a software developer
BSc (Co-op) Mathematical Physics, BSc (Co-op) Mathematical Physics at University of WaterlooMSc in Applied Computing (MScAC) Computer Science, MSc in Applied Computing (MScAC) Computer Science at University of TorontoPhysics, Physics at Boston University
Github Skills (54)
python10
data-science10
machine-learning10
ml10
deep-learning10
tensorflow10
neural-network10
neural-style-transfer10
lifecycle9
style-transfer9
apache-spark9
model-management9
dvc9
incremental-learning9
deep-neural-networks9
Programming languages (6)
Github contributions (5)
ghwatson/faststyle
Jan 2017 - Jan 2018
Contributions:76 commits, 61 pushes, 3 branches in 1 year
style-transferfast-neural-styledeep-learningneural-styletensorflow
ghwatson/wegner_ising
Jun 2015 - Dec 2016
Contributions:22 pushes, 1 branch in 1 year 7 months
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