Cem Deniz is an Associate Professor of Radiology at NYU Langone Health with eight years of professional experience at the intersection of medical imaging and computational science. He specializes in Python, PyTorch, TensorFlow, and Matlab to develop deep learning and machine learning solutions, underpinned by expertise in numerical optimization and electromagnetic field simulations. Holding advanced degrees from NYU and ETH Zurich, he brings a rigorous academic foundation to translational research and algorithm development for clinical imaging. Cem has a track record of applying principled scientific computing methods to real-world radiology problems, bridging theory and practice in high-performance environments. Colleagues describe him as a methodical problem-solver who combines experimental rigor with practical model engineering to accelerate clinical workflows. Based in New York, he continues to push the boundaries of AI-driven imaging while mentoring the next generation of researchers.
8 years of coding experience
M.Sc, M.Sc at Eidgenössische Technische Hochschule Zürich
Ph.D., Ph.D. at New York University
B.S., B.S. at Boğaziçi Üniversitesi / Bogazici University
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