Summary
John Iversen is an associate professor and computational cognitive neuroscientist with 14 years of research experience probing how music, language and the motor system shape perception and learning. He directs large-scale, longitudinal projects—most notably the SIMPHONY study and UCSD’s NEA Research Lab—applying mobile brain/body imaging and advanced time-series, spectral and multivariate methods to real-world cognition. Known for bridging blue-sky theory and applied classroom research, he combines MEG/EEG expertise with MATLAB, Python and R to develop blind-source separation, causality models and neural-network analyses. His work uniquely emphasizes rhythm and temporal perception across development, education and social interaction, and he investigates motor contributions to auditory processing using MoBI and VR. Trained at MIT, Cambridge and Harvard, he brings a rare mix of deep theoretical grounding and practical, multimodal experimental design in neurodevelopmental and music-based interventions.
14 years of coding experience
31 years of employment as a software developer
PhD, Speech and Hearing Biosciences and Technology, PhD, Speech and Hearing Biosciences and Technology at Massachusetts Institute of Technology
MPhil, History & Philosophy of Science, MPhil, History & Philosophy of Science at University of Cambridge
BA, Physics, BA, Physics at Harvard University