Hörmet Yiltiz is a teaching-focused researcher and engineer with 13 years of experience at the intersection of computational modeling, vision science, neuroscience, and software development. With a PhD in Visual Neuroscience from NYU, he combines deep expertise in machine learning and experimental design with hands-on engineering—building lab hardware, SDKs, and conference web systems that served international audiences. As a graduate instructor he’s taught Bayesian models, fMRI labs, and advanced statistics, emphasizing practical problem-solving, collaboration, and scientific writing. Based in New York, he brings an unusual blend of perceptual science and production engineering, and a noted enthusiasm for fieldwork and nature—fish, forests, and connecting people—that informs his human-centered approach to research and software.
13 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Visual Neuroscience, 3.9, Doctor of Philosophy - PhD, Visual Neuroscience, 3.9 at New York University
Bachelor of Science - BS, Experimental Psychology, Bachelor of Science - BS, Experimental Psychology at Peking University
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Hörmet Yiltiz - Teaching Assistant at New York University