Summary
Gustavo Sudre is a professor and researcher who applies machine learning to integrate neural, genomic, and behavioral data with longitudinal designs to study neurodevelopment and pediatric neuropsychiatric disorders such as ADHD, OCD, and ASD. With a PhD from Carnegie Mellon and 15 years of experience across NIH and King's College London, he combines multi-modal imaging (fMRI, MEG, EEG, ECoG) and genomics to discover transdiagnostic biomarkers and guide clinical MEG applications. He leads the OPM-MEG facility at KCL and brings a rare mix of theoretical neuroscience, neural engineering, and hands-on brain–machine interface work aimed at real-time decoding and prosthetic control. Former roles at NIH and industry CTO positions underline his ability to translate cutting-edge research into tools and facilities that support clinical and translational neuroscience.
15 years of coding experience
11 years of employment as a software developer
University of Kansas
PhD, Neural Computation, PhD, Neural Computation at Carnegie Mellon University
Master of Science (MS), Bioengineering and Biomedical Engineering, Master of Science (MS), Bioengineering and Biomedical Engineering at University of Pittsburgh
Portuguese