Summary
Ivan Iotzov is a research scientist specializing in human speech perception and scene analysis, with 11 years of experience bridging psychophysics, signal processing, and deep learning. He holds a PhD in Neuroscience from CUNY and has led EEG and biosensor studies that informed real-world hearing-aid algorithms and resulted in patents with GN Resound. Comfortable moving work from lab to product, he builds and evaluates neural-network models of auditory processing and designs experiments with human participants using tools like PsychoPy, Python, MATLAB and TensorFlow. Based in New York, he combines rigorous computational modeling with hands-on experimental design and a demonstrated ability to translate physiological findings into deployable noise-reduction and steering systems. An understated strength is his track record mentoring junior researchers while publishing peer-reviewed work that ties neural signatures to perceptual outcomes.
11 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Neuroscience, Doctor of Philosophy - PhD, Neuroscience at The City University of New York
High School Diploma, High School Diploma at Brophy College Preparatory
Bachelor of Science - BS, Neuroscience, Bachelor of Science - BS, Neuroscience at Fordham University
English, Bulgarian, Chinese