About

Dr. Hauskrecht is Professor of Computer Science, University of Pittsburgh. He received his Ph.D. from the Department of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology in 1997. He received his M.Sc. in Electrical Engineering from the Slovak Technical University, Bratislava, Slovakia in 1988. Dr. Hauskrecht's primary fields of research interest are Machine Learning and Artificial intelligence. His current research work explores new models and methods for time series analysis; low dimensional representations and summarizations of time series, structured active learning, planning and reinforcement learning. The majority of his research is driven by biomedical and clinical problems, especially problems related to analysis of high-dimensional Electronic Health Records (EHR) data and their application to adverse event prediction, medical error detection, monitoring and alerting. Dr. Hauskrecht and his group have developed and keep expanding a new data-centric platform supporting the development and deployment of machine learning solutions to real-time EHR workflows and real-time monitoring and alerting in which hundreds of machine learning models are deployed in real time over a wide range of data sources and data types present in today's EHRs.

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