Philippe Burlina
Distinguished Software Engineer, Computer Vision at Zoox
Washington DC-Baltimore Area United States
Summary
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Senior🎓
Top SchoolPhilippe Burlina is a Distinguished Software Engineer specializing in computer vision, generative AI, and trusted AI for autonomy and healthcare, with over a decade of experience bridging academia, government labs, and industry. He leads machine perception and generative model efforts at Zoox and GEICO while holding joint faculty and research roles at Johns Hopkins, applying self-supervised, low-shot, and anomaly-detection methods to real-world safety-critical systems. His work emphasizes AI robustness, privacy, fairness, and adversarial defenses—translating cutting-edge research into deployable solutions for autonomous driving and medical imaging. A published researcher with a Ph.D. in electrical engineering, he combines hands-on system leadership (from startup co-founder to principal scientist) with deep technical rigor in ML assurance and domain adaptation. An underappreciated asset is his consistent role as a cross-disciplinary integrator, navigating product, regulatory, and research demands to operationalize trustworthy AI.
11 years of coding experience
17 years of employment as a software developer
Ph.D., M.S., Electrical Engineering, Computer Vision Lab, Ph.D., M.S., Electrical Engineering, Computer Vision Lab at University of MarylandDiplome d'Ingenieur, Computer Science, Diplome d'Ingenieur, Computer Science at Université de Technologie de Compiègne (UTC)Moore School, Electrical Engineering, Moore School, Electrical Engineering at University of Pennsylvania
French, English, ItalianGithub contributions (1)
pmbpmb/2015_asteroid
Dec 2014 - Jan 2015
Contributions:31 commits, 25 pushes in 21 days
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