Summary
Lonce Wyse is a senior researcher and associate professor with 13+ years blending deep learning, neural networks and musical audio research into real-time, controllable sound generation. With a Ph.D. in Cognitive and Neural Systems from Boston University and a background in math, computer science and music composition, he bridges rigorous technical modelling and creative interaction design. He has led arts-and-science residencies and departmental roles at the National University of Singapore and now advances generative audio at the Music Technology Group in Barcelona. Known for hacking with WebAudio and JavaScript, his work spans sound synthesis, AI-driven musical communication and practical transfer of educational music technologies. Unusually, his profile combines decades of applied sound design with cutting-edge deep learning for expressive, interactive audio systems.
13 years of coding experience
28 years of employment as a software developer
Bachelor of Science - BS, Math and Computer Science, suma cum laude, Bachelor of Science - BS, Math and Computer Science, suma cum laude at University of Hartford
High School Diploma, Music Composition, High School Diploma, Music Composition at Interlochen Arts Academy
Doctor of Philosophy - PhD, Neural Networks (Cognitive and Neural Systems), Doctor of Philosophy - PhD, Neural Networks (Cognitive and Neural Systems) at Boston University