David Schlueter

David Schlueter
Assistant Professor CLTA
Building HL 228

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 All of Us Research program 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