James Browning is a Principal ML Research Engineer in Seattle with 11 years of experience building deep learning solutions for medical imaging and cancer diagnostics that directly aim to improve patient outcomes. With a PhD in Mechanical Engineering and a track record spanning academia and industry—from postdoctoral ML work at The Rockefeller University to leadership roles at Covera Health and now Elucid—he blends rigorous research with product-focused engineering. He designs interpretable, high-throughput ML systems and has a demonstrated interest in visual feedback for diagnostic tools, reflecting a commitment to both usability and clinical impact. James also enjoys formal thinking—liking math and formal languages—which informs his methodical approach to model development and debugging. Beyond applied ML, his Google Scholar record shows continued scholarly output, signaling active engagement with the research community while shipping production-ready systems.
11 years of coding experience
10 years of employment as a software developer
Master's degree, Wind Energy Engineering, Master's degree, Wind Energy Engineering at University of Massachusetts Amherst
Doctor of Philosophy (Ph.D.), Mechanical Engineering, Doctor of Philosophy (Ph.D.), Mechanical Engineering at University of Colorado Boulder
Contributions:37 commits, 54 pushes, 4 branches in 3 years 7 months
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James Browning - Principal ML Research Engineer at Elucid