Samantha's research primarily focuses on applying an interpretable machine learning algorithm to maternal health data to help better identify mental health risk. She is also passionate about health and gender equity, as well as LGBTQ issues. In her free time, she enjoys creative pursuits such as fiber arts and hair dyeing, exploring the many Pennsylvania trails with her partner, and spending time with her cats.
Education & Training
MS in Mathematics from Drexel University (2020)
BA in Mathematics from Susquehanna University (2016)
Representative Publications
“Using graph learning to model pathways of new depressive symptoms during pregnancy,” American Journal of Obstetrics and Gynecology (AJOG), 2023
“Use of a Smartphone App to Explore Potential Underuse of Prophylactic Aspirin for Preeclampsia,” JAMA Network Open, October 2021