Marcus Brubaker
Research Scientist at Google DeepMind
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolMarcus Brubaker is a research scientist and associate professor with 14 years of experience at the intersection of computer vision, machine learning, and statistical inference, now splitting time between York University and Google DeepMind. He combines deep academic expertise in cryo-EM and physics-based human motion modeling with practical industry impact as a co-founder and scientific advisor at a biotech startup. His work spans tracking and human pose estimation to computational microscopy, reflecting a rare cross-disciplinary fluency in both biological imaging and human-centered vision problems. Marcus has a sustained record of academic leadership and industry collaboration—from directing research teams to advising AI labs—underscoring an ability to translate rigorous theory into applied systems. Trained at the University of Toronto through HBSc, MSc and PhD, he is comfortable navigating both foundational statistics and cutting-edge deep learning methods.
14 years of coding experience
15 years of employment as a software developer
HBSc, MSc, PhD, Computer Science, HBSc, MSc, PhD, Computer Science at University of Toronto
Github Skills (6)
mcmc10
c-language10
stan10
cprogramming-language10
bayesian-inference10
r10
Programming languages (5)
Github contributions (5)
OpenFMC/x3p
Feb 2014 - Jul 2016
The OpenFMC repository for C/C++ and other code for reading and writing X3P files.
Contributions:13 commits, 1 PR, 1 push in 2 years 5 months
cpp
mbrubake/mbrubake.github.io
Sep 2020 - Sep 2025
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:265 pushes, 1 branch in 5 years 1 month
templategithub-pages-templatemmistakesmistakesjekyll
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