MS, epidemiology, with a concentration in public health data science and health economics, McGill University; BS, biochemistry and molecular biology, University of Massachusetts Amherst
Aria Jordan is a data scientist at the University of Minnesota Foundation, where she manages datasets, develops predictive models, and creates data visualizations in the service of fundraising for the University's various programs and facilities. To her current job in fundraising, Aria also brings her expertise in public health. While at McGill, she developed machine learning and economic models to predict the prevalence of tuberculosis in vulnerable populations and examine various prevention measures. In her free time, she loves rock climbing, reading fantasy and nonfiction books, and visiting museums.
- INET 4061 – Data Science I: Machine Learning Essentials