Wiemken To Offer Primer on Machine Learning in Epidemiology

Join the Office of Disease Prevention on Wednesday, Aug. 31 at noon ET for a Methods: Mind the Gap webinar on machine learning methods in epidemiology with Dr. Timothy Wiemken. 

Machine learning has become a hot topic in many areas of research and may have utility for answering many novel questions in epidemiology. The purpose of this webinar is to provide an overview of the salient concepts surrounding supervised machine learning methods and their application to epidemiologic problems. 

Wiemken is senior director of clinical epidemiology for the Pfizer mRNA vaccine platform. His work focuses on data-driven approaches to solve pressing clinical public health issues. 

Prior to joining Pfizer, he was associate professor of mMedicine in the St. Louis University School of Medicine, department of internal medicine, Division of Infectious Diseases, and director of infectious diseases epidemiology at SSM Health, St. Louis University Hospital. 

Registration for the webinar is required. Register at prevention.nih.gov/education-training/methods-mind-gap/primer-machine-learning-epidemiology-and-health-outcomes-research. The webinar will be recorded and available on the ODP website within approximately 2 weeks.

The webinar series explores research design, measurement, intervention, data analysis and other methods of interest in prevention science. For more information, visit prevention.nih.gov/MindTheGap.