Michael Tomer

Michael Tomer is an accomplished algorithm researcher and developer at Mobileye, where responsibilities include the development of classical algorithms and machine learning solutions for object detection and video analysis for autonomous vehicles. Concurrently, Michael serves as a research assistant at The Hebrew University of Jerusalem, focusing on Active Learning and its relationship to Representation Learning, along with functioning as a teaching assistant in an introductory machine learning course. Previous experience includes project management at Israel Aerospace Industries, overseeing a team of 20 engineers in various technical domains, and serving as a naval officer in the Israeli Navy, where leadership of the Missiles & Attack Systems Department was a key responsibility. Michael holds a Master’s degree in Computer Science and a Bachelor of Science in Physics and Computer Science from The Hebrew University of Jerusalem, complemented by studies at the Israeli Naval Academy and the University of Haifa.