Nolan Dey is a Staff ML Research Scientist with nine years of experience specializing in compute-efficient training methods for large-scale neural networks. Based at Cerebras Systems, he progressed rapidly through research roles focused on squeezing performance out of modern hardware for demanding models. His background blends rigorous systems design (MASc/BASc, University of Waterloo) with hands-on production work—from deploying classifiers at Apple to building high-throughput data pipelines at Capital One. Nolan also brings a security research perspective as founder of EXVUL-Sec, reflecting a curiosity for adversarial and systems-level robustness beyond standard ML research. He’s comfortable bridging academia and industry, teaching capstone courses while shipping research that targets real-world compute and memory constraints.
9 years of coding experience
5 years of employment as a software developer
Engineering Exchange Semester, Engineering Exchange Semester at Lund University
Master of Applied Science - MASc, Systems Design Engineering, Master of Applied Science - MASc, Systems Design Engineering at University of Waterloo
Contributions:16 commits, 4 pushes, 1 branch in 6 months
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Nolan Dey - Staff ML Research Scientist at Cerebras Systems