Jessilyn Dunn, PhD, is a faculty member in Duke’s Departments of Biomedical Engineering; Biostatistics and Bioinformatics.
Jessilyn Dunn, PhD, joined the DCRI on January 1 as an assistant professor in Duke’s Department of Biomedical Engineering (BME) and the Department of Biostatistics and Bioinformatics. She was most recently a visiting assistant professor in the Duke Department of BME; prior to that she was a postdoctoral fellow at Stanford University.
Dunn received her PhD in biomedical engineering from the Georgia Institute of Technology and Emory University and her bachelor’s degree in biomedical engineering from Johns Hopkins University. During that time, she studied the transcriptome and the epigenome of certain types of vascular cells to understand how these cells changed during disease processes.
With research centered on using large-scale biomedical data sets to predict health outcomes and design personalized interventions, Dunn will contribute to the growing focus on biomedical and health data sciences at Duke.
A major focus of the Dunn Lab will be generating predictive models for different diseases using statistical and machine learning methods, with the ultimate goal of developing effective and customized treatment plans tailored to individual patients. She will aim to draw novel health insights and actionable conclusions by integrating data from three sources: wearable devices, electronic health records, and multi-omics. Thus far, Dunn has focused her research on two areas: cardiometabolic disease and pre-term birth and pregnancy.
Dunn is a reviewer for multiple publications including the Journal of Biomedical Informatics and multiple IEEE publications and serves as managing editor of the Journal of Biomedical and Health Informatics. She is a member of the Institute of Electrical and Electronics Engineers (Engineering in Medicine and Biology Society), the American Medical Informatics Association, the Biomedical Engineering Society, and the American Heart Association.