Kevin Swersky
Research Scientist at Google DeepMind
Canada
Summary
🤩
Rockstar🎓
Top SchoolKevin Swersky is a research scientist with 13 years of experience applying machine learning at the intersection of industry and academia, currently working at Google DeepMind after a long tenure on Google Brain. He co-founded Whetlab and advised startups like Tread, blending entrepreneurial instincts with deep research expertise in scalable ML systems. His background includes roles at Twitter Cortex and early engineering positions, giving him a pragmatic product-facing perspective on deploying research into production. Kevin holds a PhD in Computer Science from the University of Toronto and advanced degrees from UBC and Alberta, signaling strong theoretical foundations paired with hands-on system building. Rarely highlighted: his career consistently bridges startup agility and large-scale research org rigor, making him effective at turning novel ideas into robust, deployable ML solutions.
13 years of coding experience
12 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at University of AlbertaMaster's degree Computer Science, Master's degree Computer Science at The University of British ColumbiaDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Toronto
Github Skills (19)
autodiff9
python9
bayesian9
automatic-differentiation9
optimization8
machine-learning8
stochastic8
numpy8
pytorch8
data-science7
tensorflow7
unsupervised-learning7
deep-learning7
hyperparameter-tuning7
codebase6
Programming languages (3)
Github contributions (5)
kswersky/k-stochastic-neighbor
Jul 2013 - Jun 2016
Contributions:3 commits, 1 PR, 1 push in 2 years 10 months
pytorchsupervisedunsupervised-learningdeep-learningembeddings
kswersky/graph-gen
Sep 2018 - Oct 2019
Contributions:2 pushes in 1 year 1 month
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