Dr. Schweinhart received her Doctorate from the University of Louisville in 2015 in Experimental Psychology with an emphasis in Vision after receiving her Masters in 2012, also from the University of Louisville. Her background and expertise is in quantitative research methods, specifically statistical analysis and computational modeling. During her postdoc at Rutgers University, Newark, she began to apply machine learning techniques to perceptual decision-making tasks.
Her work at PIRE has focused on applying quantitative methods to a variety of research projects including the Veteran Affair’s Whole Health initiative, multiple Strategic Prevention Framework projects (Alabama, New Mexico, Ohio), Ohio’s Collective Impact for Change Model, and the HRSA CoP-RCORP planning and implementation initiatives. In much of this work, Dr. Schweinhart has used both quantitative and qualitative methods to assess and evaluate substance use disorder (SUD) interventions, as well as capacity development in communities experiencing disparities.
Most recently, Dr. Schweinhart has begun to focus her substance use research on women’s health aiming to coordinate prevention, screening and response for women at risk of SUD, HIV, and intimate partner violence.