Summary
Rudy Bunel is a Research Scientist at DeepMind and a PhD candidate in Machine Learning at the University of Oxford, with 12 years of experience spanning research and engineering. His work focuses on optimization and formal verification of neural networks, blending deep theoretical grounding from ENS Cachan and Oxford with practical systems experience from internships at Microsoft Research and Datadog. He has a strong background in computer vision and robotics from Keio and prior research improving pedestrian detection, and he applies that interdisciplinary lens to robustness and verification problems in ML. Rudy’s trajectory reflects a rare combination of rigorous applied mathematics, hands-on software engineering, and leadership in student-run technical projects that raised significant funds and built teams. Based in London, he brings both academic credibility and product-minded engineering to bridge provable ML methods and real-world systems. An unexpected thread in his profile is early experience in hardware assembly and QA, giving him a practical appreciation for end-to-end system reliability.
12 years of coding experience
3 years of employment as a software developer
Ingénieur des Arts et Manufactures, Data Science, Ingénieur des Arts et Manufactures, Data Science at Ecole centrale de Paris
Doctor of Philosophy (PhD), Machine Learning, Doctor of Philosophy (PhD), Machine Learning at University of Oxford
Master of Science (M.Sc.), Mathématiques appliquées, Master of Science (M.Sc.), Mathématiques appliquées at ENS Cachan
Robotics, Augmented Reality and Computer Vision, Robotics, Augmented Reality and Computer Vision at Keio University
French, English, German, Japanese