Summary
Shamim Nemati is an Associate Professor and translational AI researcher with nine years of professional experience developing physiologically inspired machine learning and control algorithms for medical data. He leads work that fuses signal processing, information theory, dynamical systems, and reinforcement learning to phenotype patients, predict clinical deterioration, and optimize treatment in critical care, computational neuroscience, and wearable health. His career spans top institutions—MIT, Harvard, Emory, and UC San Diego—and includes co-founding Clairyon to bridge research and deployable healthcare apps. Shamim pairs deep technical rigor from a PhD in EECS with hands-on regulatory and quality management collaborations (FHIR/HL7, QMS, FDA), giving his teams a practical path from models to bedside impact. Colleagues know him for designing sequential decision-making pipelines that close the loop between predictive analytics and sustainable clinical decision support.
9 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (PhD), Electrical Engineering and Computer Science, Doctor of Philosophy (PhD), Electrical Engineering and Computer Science at Massachusetts Institute of Technology
Sleep, Circadian and Respiratory Neurobiology, Sleep, Circadian and Respiratory Neurobiology at Harvard University
University of Oklahoma