Summary
Itay Yona is an AI researcher and self-taught programmer with a decade of experience bridging neuroscience and computer science to study intelligence and make Explainable AI practical and safe. Currently at Google DeepMind and founder/PI of his own lab, he combines academic rigor from an MSc at Weizmann with applied algorithm development experience from AI21 Labs and industry data science roles. His background includes neuroscience-flavored machine learning research in Nachum Ulanovsky’s lab and production-oriented modeling at Pagaya, giving him a rare blend of theoretical insight and deployment pragmatism. Based in the UK, he is driven by a multidisciplinary approach to interpretability and safety that treats explainability as an engineering constraint, not just a research goal.
10 years of coding experience
4 years of employment as a software developer
MSc, Computer Science, Math and Neuroscience, MSc, Computer Science, Math and Neuroscience at Weizmann Institute of Science
BSc, Computer Science, BSc, Computer Science at The Open University of Israel