Danielle Beaulieu is a Data Scientist with extensive experience working in clinical trials. Prior to joining the Origent team, Danielle worked as a Biostatistical consultant providing statistical support and coordination for trials spanning the areas of cardiovascular disease, infectious disease, metabolic disorders, and oncology. As a Data Scientist at Origent, Danielle is responsible for developing and implementing personalized predictive models for human diseases and guiding regulatory reporting.

Danielle received her B.A. magna cum laude in Mathematics and Biostatistics with a minor in Psychology from Emmanuel College and her M.P.H. in Epidemiology from The George Washington University. Her master’s thesis was titled “Geospatial Patterns of Breast Cancer Treatment Delay Disparities in the District of Columbia.”