Jim Kates’ primary area of research is signal processing for hearing aids. His current research includes developing mathematical models of auditory processing, and using those models to predict speech intelligibility, speech quality, and music quality for signals processed through hearing aids. He is also conducting research in binaural hearing, particularly in how hearing-aid signals can be modified to improve spatial perception. He retired from hearing-aid manufacturer GN ReSound in 2012, where he held the position of Research Fellow. He designed the feedback cancellation and dynamic-range compression algorithms used in the GN ReSound family of hearing aids, and did additional research in noise suppression, speech enhancement, frequency lowering, sound signal classification, adaptive microphone arrays, and binaural signal processing. He holds Bachelor’s and Master’s degrees in Electrical Engineering and the professional degree of Electrical Engineer, all from MIT. He is a Fellow of the Acoustical Society of America and a Fellow of the Audio Engineering Society, and he received the Samuel F. Lybarger career achievement award from the American Academy of Audiology in 2015.