Improving health using diverse statistical methods and data
Dr. Reynolds is working to identify risk factors associated with neuropathy by applying statistical analyses with complex data. He collaborates with U-M’s clinicians to evaluate and quantify the contrasting effects of weight loss from bariatric surgery and diet on nerve damage throughout the body. He is working to identify how brain injury is related to weight loss. Dr. Reynolds is also trying to determine whether longitudinal elevated metabolic risk factors are associated with increased rate of onset for nerve damage in a cohort of Pima Indian patients.
Dr. Reynolds is also interested in improving neurologic healthcare delivery. He utilizes information from Optum Insight, Medicare and Veterans Affairs to assess utilization, costs and trends of neurologic medication and diagnostic testing.
- BS, Statistics and Political Science, Michigan State University, 2013
- MS, Biostatistics, University of Michigan, 2015
- PhD, Biostatistics, University of Michigan, 2018
- Postdoctoral Fellowship, Clinical Neuroscience, University of Michigan, 2019-20
Honors & Awards
- Student Leader of the Year, University of Michigan, School of Public Health, 2018
- Graduate Student of the Year, University of Michigan, Michigan Difference Leadership Awards, 2018
- Health Services Research Student Fellowship, University of Michigan, Institute for Healthcare Policy and Innovation, 2018
The NeuroNetwork's lead statistician shares how algorithms and machine learning are going to help prevent complications from diabetes and metabolic syndrome.
In addition to his diabetes research, Dr. Callaghan seeks to improve the efficiency in neurologic testing. Here he examined how a change to Medicare's nerve conduction study reimbursement policy in 2013 has affected the utilization, payments and patient access to the the procedure, which measures the speed at which an electrical impulse moves
One of the rising stars of the NeuroNetwork for Emerging Therapies, Dr. Evan Reynolds, gives a crash course on the use of biostatistics in our research.