Summary
Jacob Levernier is a Principal Data Scientist with 12 years of experience applying machine learning and software engineering to healthcare, currently leading AI enablement and productionization efforts at Mayo Clinic. He blends a PhD-trained research mindset with pragmatic engineering—designing reproducible pipelines, CI/CD, and reusable code templates that have cut deployment timelines from months to weeks and improved processing speeds by several-hundred percent. Jacob is known for technical leadership across clinical and engineering teams, authoring enterprise guidelines, onboarding materials, and a widely-viewed internal developer wiki that accelerated AI adoption. His background in building large-scale data platforms, privacy-preserving analyses, and synthetic data tooling complements hands-on model and image-analysis wins in pathology and whole-slide imaging. Based in Richmond, VA, he also carries practical iOS development experience from his GitHub presence, reflecting a breadth that spans mobile, backend, and ML infrastructure.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD Personality & Social Psychology (Specialization in Data Science), Doctor of Philosophy - PhD Personality & Social Psychology (Specialization in Data Science) at University of Oregon
BA Psychology (Minors Neuroscience Classics Ethics; Great Books Program), BA Psychology (Minors Neuroscience Classics Ethics; Great Books Program) at University of San Francisco