Summary
Naomi Fridman is a deep learning and algorithm development specialist with 10 years of experience applying ML to medical imaging, signals, and biological sequence problems. Currently a PhD student at Ariel University and previously an AI developer at the Weizmann Institute, she has built transformer-based models to predict chemotherapy response and fetal stress, and developed protein-feature and microscopy analysis pipelines. Her background blends rigorous applied mathematics (MSc, Technion) and interdisciplinary training in mathematics, philosophy, and CS, which informs her careful modeling and problem formulation. Naomi has a long history of tackling scarce-data challenges in medical domains—competing successfully in public biomedical challenges and creating practical solutions for hospitals and industry.
10 years of coding experience
26 years of employment as a software developer
Msc, Appliedc Mathematics, Msc, Appliedc Mathematics at Technion - Israel Institute of Technology
BSc, Mathematics & Philosophy, BSc, Mathematics & Philosophy at Tel Aviv University
PhD student, Computer scince, PhD student, Computer scince at Ariel University
Master of Social Science, Intelligent Systems, Master of Social Science, Intelligent Systems at Afeka Tel Aviv Academic College of Engineering
English, Russian, Portuguese, Hebrew