Evan Reynolds, PhD

Dr. Reynolds is a biostatistician, health services researcher, and diabetes data scientist that aims to improve human health and clinical decision-making by utilizing complex data through advanced and novel statistical methods.

 

RESEARCH INTERESTS

The current focus of Dr. Reynolds research include:

1. Predicting and preventing complications of diabetes, using longitudinal trajectories of metabolic risk factors.
2. Determining the appropriateness, utilization, and cost of diabetes and neurologic healthcare delivery through the use of large-scale databases.
3. Developing novel statistical machine learning methods that enhance clinical interpretability and prediction accuracy under certain complex clinical settings.

Dr. Reynolds research endeavors are funded by a K99/R00 award from the National Institutes for Health (NIH) National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK).

Dr. Reynolds has a B.S. in Statistics from Michigan State University, and a M.S. and Ph.D. in Biostatistics from the University of Michigan. Dr. Reynolds also holds a certificate in Data Science from the University of Michigan Institute for Data Science and completed a Health Services Research Training Fellowship at the University of Michigan Institute for Healthcare Policy and Innovation. Dr. Reynolds completed postdoctoral training in Clinical Neuroscience at the University of Michigan Department of Neurology.