Summary
Amit Moscovich is a senior lecturer and statistical machine learning researcher at Tel Aviv University with 12 years of experience bridging computer science, mathematics and physics. He holds a direct-track PhD in Statistical Machine Learning from the Weizmann Institute and applies expertise in manifold learning, optimal transport and computational methods to problems such as cryo-EM and medical imaging. Comfortable both with high-level theory and low-level optimization, he codes in Python and C++, and has worked on volumetric processing, graphics, compression and x86-level performance tuning. An experienced academic writer and instructor, he combines rigorous probabilistic modeling with practical algorithm design and implementation. Notably, his profile reflects a rare blend of deep statistical insight and hands-on systems skills, useful for translating complex inverse problems into deployable computational pipelines.
11 years of coding experience
Ph.D. (direct track), Statistical Machine Learning, Ph.D. (direct track), Statistical Machine Learning at Weizmann Institute of Science
Physics/Math, Physics/Math at The Hebrew University
B.Sc., Computer Science, B.Sc., Computer Science at Israel Jobs
Hebrew, English