Yonatan is a DPhil student in the AIMS CDT, advised by Yarin Gal and Michael Bronstein. He is interested in improving models’ scaling and efficiency, believing that foundational applied research is the best way to do good. He previously completed a master’s at Cambridge and holds a bachelor’s in physics from the Hebrew University of Jerusalem. Yonatan worked on a variety of projects such as machine learning for quantum computing at Qruise and Forschungszentrum Jülich, maps for autonomous vehicles at Mobileye, and as a teacher at the Israeli Arts and Sciences Academy. Before that, he was involved in mentoring and volunteering for robotics teams, reaching international competitions several times. He is funded by the AIMS CDT and a Rhodes scholarship.
Publications while at OATML • News items mentioning Yonatan Gideoni • Reproducibility and Code • Blog Posts