Jason Wittenbach is a Senior Director of Machine Learning with 11 years of experience applying statistical and mathematical modeling to high-impact domains—from neurobiology and academic research to regulated diagnostics and financial services. He builds and leads cross-functional ML teams that deploy genomics-driven diagnostics and trustworthy, explainable models at scale, and has steered regulatory strategy for ML-based molecular tests. Jason’s background blends a Ph.D. in Physics, postdoctoral neuroimaging and computational modeling, and production ML engineering at Capital One, giving him a rare mix of theoretical rigor and operational delivery. Known for tackling hard noisy-data problems, he translates complex biological and multimodal datasets into validated, production-ready systems while mentoring technical teams and teaching graduate courses in statistical and deep learning.
11 years of coding experience
16 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Physics, Doctor of Philosophy (Ph.D.) Physics at Penn State University
B.S. Physics and Mathematics, B.S. Physics and Mathematics at University of Notre Dame
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Jason Wittenbach - Senior Director, Machine Learning at Cepheid