Chris Cremer
Research Engineer at Google DeepMind
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolChris Cremer is a research engineer and ML practitioner with 11 years of experience bridging academic rigor and product-focused machine learning, currently working at Google DeepMind after roles at Hume AI and Cohere. He holds a PhD in Machine Learning from the University of Toronto and has research internships at Meta and Microsoft Research, reflecting a strong foundation in both theory and applied research. Chris has applied ML across domains from computational biology to large-scale language and multimodal models, moving smoothly between lab research and engineering delivery. His background includes hands-on systems work early in his career (wireless protocol modification) and experimental biology internships, showing an uncommon blend of systems, wet-lab intuition, and statistical modeling. Based in Old Toronto, he presents as an engineer who values rigorous evaluation and reproducible research while contributing to production-grade ML at leading labs. His personal site (chriscremer.ca) and GitHub presence signal an engineer who actively curates his technical footprint beyond publications.
11 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Machine Learning, Doctor of Philosophy (Ph.D.) Machine Learning at University of TorontoBachelor of Science (B.Sc.), Bachelor of Science (B.Sc.) at McGill University
English, French
Github Skills (13)
machine-learning10
deep-learning10
gpu10
python10
numpy9
neural-network9
tensor8
acceleration8
autograd8
gpu-acceleration8
tensorflow8
benchmark6
language-model2
Programming languages (2)
Github contributions (5)
chriscremer/TPL
Jul 2024 - Mar 2025
Contributions:164 pushes in 7 months
chriscremer/Inference-Suboptimality
Apr 2018 - May 2020
Contributions:7 commits, 6 pushes, 1 branch in 2 years 1 month
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