He is a graduate of the University of Pittsburgh, where he received a PhD with a focus in critical care. His research interests are in identifying patients at greatest risk using applied machine learning and data mining techniques on large health care datasets (big data). His long-term "precision health" research interests lie in the use and application of data science methods to better predict disease or disease state risk and to design preemptive interventions to prevent failure to rescue.