Dave Williams is a Principal Data Scientist Manager in Seattle with 12 years of experience bridging academic research and production AI at scale. He combines a PhD in biophysics and published work in Science and PNAS with hands-on engineering—building cloud-native ML pipelines, novel scientific libraries, and a versioned data-access API that multiplied external image use tenfold. At Microsoft he leads mixed teams to design measurable AI solutions for government, mobility, and retail customers, favoring rigorous experiment tracking and cost-aware techniques like model distillation. His background in agent-based modeling, robotics, and automated imaging gives him a knack for transferring methods across domains—recently exploring agent models for synthetic data and deployment efficiency. A prolific presenter and teacher, he’s comfortable explaining latent spaces and biophysical models to diverse technical and nontechnical audiences.
12 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy (PhD), Biophysics, Doctor of Philosophy (PhD), Biophysics at University of Washington
Contributions:64 commits, 42 pushes, 1 branch in 10 months
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