Shai Shalev-Shwartz is the chief technology officer of Mobileye. He leads software and algorithm technology development for Mobileye’s advanced driving assist systems (ADAS), highly autonomous and fully autonomous driving solutions, and enabling technologies including Responsibility-Sensitive Safety (RSS) and Road Experience Management™ (REM™) maps. He is also a professor at the Rachel and Selim Benin School of Computer Science and Engineering at the Hebrew University of Jerusalem.

Shalev-Shwartz developed the science behind RSS as well as an economically viable path toward a future where there are no casualties from car accidents. He is drawn to autonomous driving as the first large scale deployment of artificial intelligence and machine learning outside of the cybernetic world.

Shalev-Shwartz is best known for pioneering research in machine learning and was listed as one of the 100 most influential researchers worldwide in 2016 by AMiner. In 2014, he co-authored one of the top books used by major universities on theoretical machine learning: “Understanding Machine Learning From Theory to Algorithms.” Before joining Hebrew University and Mobileye, Shalev-Shwartz was a research assistant professor at Toyota Technological Institute in Chicago, and also worked in research at both Google and IBM. Shalev-Shwartz has written more than 100 research papers, focusing on machine learning, online prediction, optimization techniques, and practical algorithms.

In 2020, he was awarded the prestigious Michael Bruno Award for his groundbreaking research and his unique contribution to computer science and engineering.