Alexis Baudron is a Senior AI Researcher in San Francisco with nine years of experience specializing in computational photography and machine learning for smartphone camera sensors. He has driven ML-powered image enhancement and optical artifact removal for cutting-edge imaging systems—including under-display cameras, organic sensors, and on-chip lens arrays—bridging academic research and product-focused engineering. Prior roles span research at Northwestern on event-camera 3D reconstruction and production ML pipelines for video anomaly detection, showing an ability to move algorithms from differentiable-rendering prototypes into practical deployments. Now at Sony, he applies deep technical rigor informed by a 4.0 MS in Computer Science to solve sensor- and optics-driven imaging problems at scale. A detail that sets him apart is his track record of tackling hardware-constrained imaging challenges (e.g., under-display and on-chip lens systems) where software compensates for novel physical limitations.
9 years of coding experience
6 years of employment as a software developer
Master's degree, Computer Science, 4.0/4.0, Master's degree, Computer Science, 4.0/4.0 at Northwestern University
Baccalaureat Francais, Baccalaureat Francais at Lycée Français Charles de Gaulle Londres
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