Shocher, Assaf

Assistant Professor Assaf Shocher joined the faculty in 2025. He received his Ph.D. from the Weizmann Institute of Science, advised by Prof. Michal Irani, and holds two Bachelor degrees in Physics and Electrical Engineering from Ben-Gurion University. Prior to joining the Technion, Assaf held research positions at NVIDIA and Google DeepMind, and was a Postdoctoral Fellow at UC Berkeley (advised by Prof. Alyosha Efros). His research interests include Artificial Intelligence and Deep Neural Networks for computer vision. His work is guided by two core principles: a pursuit of elegant, foundational ideas that offer fundamentally new perspectives, and a focus on dynamic and adaptive learning for real-world scenarios like unannotated data streams and distribution shifts. This approach often leads to an emphasis on unsupervised, self-supervised, and generative models.

Awards:

• The Chaya Career Advancement Chair
• Rothschild Postdoctoral Fellowship
• Fulbright Postdoctoral Fellowship
• John F. Kennedy Award (Weizmann Institute)
• Blavatnik Award for CS Ph.D. graduates.