Summary
Zahy Bnaya is a founder and researcher with 12 years of experience at the intersection of AI and cognitive science, focused on modeling human decision-making and building AI systems that reason. He has led applied research and product efforts across industry and academia, including senior research roles at General Motors and postdoctoral work at NYU studying adversarial decision processes. His technical expertise spans reinforcement learning, heuristic search, planning, Monte-Carlo Tree Search, multi-agent systems, anomaly detection, and more recently integrating LLMs and NLP into reasoning pipelines. Zahy combines deep theoretical grounding (PhD in AI) with hands-on software and systems architecture experience, having built AI-driven products from prototyping to deployment. Based in Tel Aviv, he’s comfortable moving between lab-style research and stealth-mode product development, often bridging behavioral modeling with practical engineering constraints. An understated trait: he pairs rigorous experimental methods with product-minded pragmatism, enabling research insights to translate into deployable features.
12 years of coding experience
19 years of employment as a software developer
Postdoc, Neural Science, Postdoc, Neural Science at New York University
M.Sc, Information systems Engineering, M.Sc, Information systems Engineering at Ben-Gurion University of the Negev
Ph.D, Artificial Intelligence, Ph.D, Artificial Intelligence at Universitat Ben Gurion Ba-Negev
English, Hebrew