Shamim Nemati, PhD
Dr. Nemati obtained his PhD degree in Electrical Engineering and Computer Science from MIT in 2013. While at MIT, he held a Ruth L. Kirschstein National Research Service Award (NRSA) position at the Brigham and Women’s Hospital and Harvard Medical School, with a focus on physiological control systems and sleep medicine. Upon completion of his PhD degree, Dr. Nemati joined the Harvard Intelligent Probabilistic Systems group as a James S. McDonnell Foundation (JSMF) postdoctoral fellow in complex systems, where he focused on the application of deep learning and reinforcement learning techniques for prediction of adverse clinical events and optimization of treatment protocols in critically ill patients. He is currently an assistant professor of Biomedical Informatics at the Emory School of Medicine, and an NIH earlier career development award (K01) recipient in biomedical big data (BD2K). He has published in several areas of research, including advanced signal processing and machine learning techniques, computational neuroscience/brain machine interface, predictive monitoring in intensive care, and nonlinear and nonstationary multidimensional time-series analysis, resulting in over 60 peer-reviewed publications.