Summary
Eyal Rozenberg is an AI/ML researcher and engineer with a PhD in Deep Learning and eight years of experience applying advanced ML methods across vision, signals, quantum optics, molecular biology and drug discovery. He has bridged academic rigor and product impact through collaborations with Google Research and Verily, a strong publication record in top venues, and hands-on roles from co-founding a biosensor startup to building generative and core ML systems at Google. Technically fluent in diffusion models, GNNs, normalizing flows, LLMs and signal-processing algorithms, he specializes in reduced-supervision and ab-initio approaches as well as practical LLM deployments (RAG, reranking, fine-tuning) for multimodal applications. Based in London, he combines deep research with engineering execution in production settings and strategic AI consulting. Less obvious: his background in experimental nonlinear optics and formal verification gives him a rare blend of theoretical, hardware and verification instincts that inform robust ML system design.
8 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD Artificial Intelligence, Doctor of Philosophy - PhD Artificial Intelligence at Technion - Israel Institute of Technology
Master's degree Optics/Optical Sciences, Master's degree Optics/Optical Sciences at Tel Aviv University