My research interest is in the following areas: machine learning; time series modeling; and, planning and optimization in the presence of uncertainty. My research work is motivated and driven mostly by biomedical informatics problems and applications. More specifically, my current work focuses on the development of modern machine learning technologies for analysis of high dimensional time-series data in electronic health record (EHR), patient state models, and their applications to real-time clinical monitoring and alerting, real-time patient assessment, real-time adverse event detection and outcome prediction. Finally, my most recent research is on control and optimization of complex biological and clinical processes.