Dr. Goldstein is Associate Professor of Biostatistics and Bioinformatics with secondary appointments in the Departments of Pediatrics and Population Health Sciences. His research is on the meaningful use of electronic health records data for predictive modeling and causal inference. His research has been funded by the NIH, FDA, CDC, industry partners and the Duke Health System. Dr. Goldstein has a particular interest in understanding biases associated with EHR data and how they can impact analyses. A health data scientist, his work sits at the intersection of biostatistics, biomedical informatics, machine learning and epidemiology. He has a particular interest in using EHR data for personalized decision making, promoting the Leaning HealthCare System. Dr. Goldstein works closely with the Duke University Health System. He serves as the co-chair of the Algorithm Based Clinical Decision Support (ABCDS) evaluation subcommittee. Dr. Goldstein received his PhD in Biostatistics and MPH in Epidemiology/Biostatistics from UC Berkeley and his BA in Psychology from Wesleyan University.

ben.goldstein@duke.edu