David Schlueter
Biography
My research broadly focuses on the usage of electronic health records for public health scientific discovery, development of novel statistical techniques, and genomic science.
Electronic health records are composed of a rich variety of data types which are collected routinely as part of clinical care. These data types, coupled with temporal information allow us to study in detail how disease risk changes over time.
Using EHR to study disease allows definitions of outcomes that would previously have been difficult to ascertain. Furthermore, with the advent of large human genomic databases such as the in the United States and the UK Biobank, genomic data coupled with EHR provides a powerful data source for scientific discovery.
Education
Ph.D., Biostatistics, Vanderbilt University
B.A., Mathematics and Statistics (Double Major), Grand Valley State University
Research Interests
Precision Medicine and Health Informatics
Survival Analysis
Machine Learning
Endometriosis
Neurofibromatosis, Type 1
Health Disparities