Shamim Nemati, Ph.D., obtained his Ph.D. degree in Electrical Engineering and Computer Science from MIT in 2013, followed by two years of postdoctoral fellowship at the Harvard Intelligent Probabilistic Systems group focused on the application of deep learning and reinforcement learning techniques to healthcare data.
He is currently the Director of Predictive Health Analytics at UC San Diego (UCSD) Health and an Associate Professor of Biomedical Informatics at UCSD where he leads an NIH-funded critical care informatics research group. He has published in several areas of research, including advanced signal processing and machine learning techniques, computational neuroscience/brain-machine interface, and predictive monitoring in hospitalized patients, resulting in over 100 peer-reviewed publications.
Dr. Nemati is featured in Episode 5 of The Sepsis Spectrum: Microbial Mysteries. Click here to access the episode.
