Kendall Park is an MD-PhD candidate and software engineer with 14 years of experience building clinical-grade web and ML systems, currently a Graduate Research Assistant at UW–Madison researching AI-driven clinical decision support for primary hyperparathyroidism. He bridges medicine and computer science—splitting his training between University of Missouri-Columbia School of Medicine and UW–Madison CS—bringing production experience from multiple Google Health/Research internships focused on medical imaging and radiology. His background includes full-stack Rails + React platforms, HIPAA-compliant research databases, and visualization tools for model selection, with a track record of leading and mentoring student teams. Kendall’s work emphasizes moving data-driven improvements into the standard of care, pairing rigorous research with pragmatic engineering to make ML clinically actionable. Based in Madison, WI, he combines deep clinical insight with practical software delivery, uniquely positioning him to translate algorithmic advances into healthcare workflows. An uncommon thread in his career is sustained collaboration with Google’s radiology teams across several years, reflecting both domain credibility and applied impact.
14 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Wisconsin-Madison
BS, Computer Science, BS, Computer Science at Wheaton College
Doctor of Medicine (MD), Doctor of Medicine (MD) at University of Missouri-Columbia School of Medicine
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