Summary
Sagie Benaim is an Assistant Professor (Senior Lecturer) at the Hebrew University of Jerusalem with nine years of experience bridging academic research and applied machine learning. Trained at Imperial, Oxford, and Tel Aviv University (PhD), he focuses on computer vision, generative models, neural signal representations, and inverse graphics, exploring how disentangled representations can reveal structure in visual data. His trajectory includes a DIKU postdoc with Serge Belongie, a Google research internship that produced CVPR work on self-supervised video representations, and recent affiliation as an Amazon Scholar, reflecting a blend of deep research and industry collaboration. He has taught convolutional neural networks repeatedly at Tel Aviv University, demonstrating a commitment to education alongside research. Colleagues describe him as a researcher who combines mathematical rigor with practical systems thinking, often turning theoretical insight into reproducible models and code.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Tel Aviv University
Master’s Degree Mathematics and the Foundations of Computer Science, Master’s Degree Mathematics and the Foundations of Computer Science at University of Oxford
Bachelor’s Degree Mathematics and Computer Science, Bachelor’s Degree Mathematics and Computer Science at Imperial College London
English, Hebrew, French