Summary
Jason Dude is a research scientist with 9 years of experience applying signal processing, machine learning, and rigorous experimental methods to sleep, neurophysiology, and athletic performance. Based at Washington University School of Medicine in St. Louis, he develops EEG- and biomarker-based models to probe the bidirectional links between sleep quality and preclinical Alzheimer's disease, and builds algorithms for sleep-cycle detection and cross-hemisphere synchronization. His background combines an MS in Kinesiology with hands-on expertise in polysomnography, actigraphy, EMG, motion capture, and metabolic testing, plus solid coding skills in Python, MATLAB, R, and PsychoPy. Previously he led analysis and data-collection pipelines for pediatric ADHD research, created reproducible EEG processing tutorials, and published work on aperiodic EEG components. He also maintains practical research tools (e.g., an R file-check package) and brings a user-centered view—translating complex signals into visualizations and metrics clinicians and athletes can act on.
9 years of coding experience
1 year of employment as a software developer
The University of Utah