Shek Azizi is a Senior Research Scientist and research lead at Google DeepMind with a decade of experience building foundation models for medical applications. As the Brain Moonshot lead behind Med-PaLM, he drives research on medical LLMs and self-supervised methods to advance medical image analysis, bridging clinical needs and cutting‑edge ML. Based in Vancouver, he brings a PhD in Electrical and Computer Engineering from UBC and a track record of translating foundational research into tools that improve diagnostic workflows. Colleagues describe him as equally fluent in model theory and applied engineering, often focusing on realism and safety in medical AI beyond headline results.
10 years of coding experience
Doctor of Philosophy (Ph.D.), Electrical and Computer Engineering, Doctor of Philosophy (Ph.D.), Electrical and Computer Engineering at The University of British Columbia
Contributions:17 commits, 16 pushes, 1 branch in 1 year 5 months
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Shekoofeh Azizi - Senior Research Scientist at Google DeepMind