Summary
Ravid Ziv is an AI researcher and NYU faculty fellow with 12 years of experience bridging theoretical machine learning and real-world applications, currently working in Meta’s Superintelligence Lab. His Ph.D. in Brain Science and Computer Science underpins research on large language models, self-supervised learning, and the links between deep nets and compression, informed by internships and projects at Google and Intel. He has led research teams and shipped AI solutions across healthcare, manufacturing, and marketing, translating information-theoretic insights into practical systems. An active communicator of ideas, he hosts an AI podcast exploring the information bottleneck and related theory-practice intersections. Colleagues know him for blending rigorous theory with product-minded engineering to make advanced AI more accessible and impactful.
12 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Brain Science and Computer Science, Doctor of Philosophy (Ph.D.) Brain Science and Computer Science at The Hebrew University of Jerusalem