Summary
Diego Mazzotti is an Associate Professor and biomedical informatics researcher with 11 years of experience applying machine learning and data-integration methods to high-dimensional physiological, behavioral, genetic, and EHR data in sleep medicine. He builds predictive models and clinical decision support tools to phenotype obstructive sleep apnea, predict cardiovascular outcomes from sleep markers, and discover genetic contributors to sleep disorders. His work spans multidisciplinary translational pipelines—from genome-wide association studies to harmonizing clinical data warehouses—aimed at identifying patient subgroups who might benefit from targeted interventions. Based in Philadelphia and currently at the University of Kansas Medical Center, he combines deep domain expertise in psychobiology with practical experience deploying analytics in clinical settings, reflecting a rare mix of genetics, sleep physiology, and informatics.
11 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Psychobiology, Doctor of Philosophy (Ph.D.), Psychobiology at Universidade Federal de São Paulo
English, Portuguese, Spanish