Summary
Victoria Mazo is a Research Scientist with a PhD in Theoretical Physics and nine years of professional experience focused on Deep Learning and Computer Vision. She has led research initiatives in both 2D and 3D vision, translating theoretical advances into industry-impacting solutions. Combining rigorous academic training with hands-on experimentation, she bridges complex modeling and practical deployment. Victoria shares her work and technical essays on GitHub and Medium, signaling an active engagement with the research community and reproducible code. Based in Hod HaSharon, Israel, she brings a rare cross-disciplinary perspective that blends physics-driven intuition with state-of-the-art vision engineering.
9 years of coding experience
Bar-Ilan University
English, Hebrew, Russian, German