Yonatan Belinkov

Yonatan Belinkov is a computer scientist who works on natural language processing, machine learning and artificial intelligence. He is an associate professor in the Henry and Marilyn Taub Faculty of Computer Science at the Technion – Israel Institute of Technology.

Education and career

Belinkov received a BSc and an MA from Tel Aviv University in mathematics and Arabic and Islamic studies. He received a PhD in electrical engineering and computer science from the Massachusetts Institute of Technology in 2018.

After completing his doctorate, Belinkov held postdoctoral positions at Harvard and at the MIT Computer Science and Artificial Intelligence Laboratory. and is now an associate professor.

With Jonathan S. Rosenfeld, Amir Rosenfeld, and Nir Shavit, he co-authored A Constructive Prediction of the Generalization Error Across Scales, an ICLR 2020 paper on predicting neural-network generalization error across model and data scales.

Belinkov also coauthored Locating and Editing Factual Associations in GPT, a 2022 NeurIPS paper that introduced Rank-One Model Editing, or ROME, a method for making targeted changes to factual associations in transformer language models without retraining the whole model. Later work on model editing has treated ROME as a central locate-and-edit method.

Recognition

Belinkov received a Harvard Mind, Brain, and Behavior Postdoctoral Fellowship and an Azrieli Early Career Faculty Fellowship. In 2025, he received the Krill Prize for Excellence in Scientific Research from the Wolf Foundation.