Kelvin Mei is a Principal AI/ML Data Engineer with nine years of experience translating advanced data science and physics training into clinical impact at Medtronic, where he elevates the cardiac device healthcare pipeline through AI-driven diagnostics and workflow reduction for clinicians and patients. Trained as a physicist with a Ph.D. from Princeton and an MPhil from Cambridge, he brings deep expertise in statistics, large-scale data analytics, and machine learning grounded in rigorous experimental and research methods. His background in high-energy physics and hands-on work at CERN and Princeton give him a strong track record of turning noisy, complex signals into actionable models. Kelvin combines research curiosity with product-minded engineering—deploying models that meet clinical constraints and regulatory realities rather than just promising benchmarks. Colleagues describe him as someone who focuses on the primary roadblocks to progress and executes pragmatic plans to remove them. Based in Minneapolis, he continues to expand his AI toolkit while applying it to high-impact healthcare problems.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Science (B.S.) Physics, Bachelor of Science (B.S.) Physics at Rutgers University
Hong Kong University of Science and Technology (HKUST)
Master's of Philosophy (MPhil) Physics, Master's of Philosophy (MPhil) Physics at University of Cambridge
Doctor of Philosophy (Ph.D.) High Energy Physics, Doctor of Philosophy (Ph.D.) High Energy Physics at Princeton University
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