PhD, חוקר בכיר
“My goal is to extract insights hidden in textual health information that can improve healthcare using NLP technologies”
Yonatan is using Natural Language Processing to augment and complement the analysis of structured medical records at KI.
Previously, Yonatan was a research staff member in Project Debater at IBM’s Haifa Research Lab. The project developed a system that can coherently and effectively debate with humans, and culminated in an open event in 2019, with the system honorably losing to a former debating champion. Prior to working at IBM, Yonatan was the chief scientist at sight diagnostics, where he led the development of a low-cost machine the can quickly and reliably detect the malaria parasite in blood samples. Before that, he was a team leader and project manager at Mobileye, where he worked on machine vision solutions in the automotive setting. As a postdoctoral researcher in the Barkai Lab in the Weizmann Institute he studied the evolution of transcription and metabolic regulation. He was part of the FP6 UniNet effort which aimed to develop a holistic inter-disciplinary view of network analysis and applications.
Yonatan holds a PhD (magna cum laude) in computer science and a BSc (cum laude) in computer science and mathematics from the Hebrew University of Jerusalem.
Yonatan is a long-time potter, with a particular interest in combining wheel-thrown parts into larger objects.