Benjamin A. Goldstein received his BA in psychology in 2002 from Wesleyan University, his MPH in Epidemiology & Biostatistics in 2007 and his PhD in Biostatistics with a Designated Emphasis in Genomic & Computational Biology from UC Berkeley. His PhD adviser was Dr. Alan Hubbard and he worked in the lab of Dr. Lisa Barcellos studying machine learning methods for genome wide association studies.
In 2011 he joined the newly formed Quantitative Sciences Unit in the Department of Medicine at Stanford University. He worked as a collaborative biostatistcian on a range of clinical projects. Through this work he developed an interest in the use of Electronic Health Records. Under the primary mentorship of Dr. Wolfgang Winkelmayer he received an NIH K25 career development award focused on the use of EHR to develop clinical risk models.
In 2014 he joined the faculty of Duke University in the Department of Biostatistics and Bioinformatics as well as the Duke Clinical Research Institute. He is one of the founding members of the DCRI Center for Predictive Medicine. His research focuses on the meaningful use of EHRs both for the purpose of risk prediction and causal inference and sits at the intersection of biostatistics, informatics and epidemiology. He works closely with members of Duke University Medical Center to help develop risk models and alert systems to implement within the hospital. He also collaborates with clinical researchers and other methodologists on projects related to the EHRs.