Leigh Goetschius is a data scientist at The Hilltop Institute, where she conducts research and quantitative analysis for a variety of projects. Her research has focused on how exposure to violence, social deprivation, and ecological stress impact health and development. She has broad training in developmental psychology with specific training in integrating social context and biological data using advanced quantitative methods, such as multiple regression, machine learning, latent variable modeling, and data-driven network analyses.
Before joining Hilltop, Leigh was a graduate research fellow in the Department of Psychology at the University of Michigan. Over several years she synthesized large amounts of data into concise summaries and used them to operationalize analytic objectives into concrete, testable questions. She collaborated with interdisciplinary research teams to investigate the impact of early adversity on mental health and development using a strengths-based approach. Leigh also analyzed complex neuroimaging data in 190 teenagers using several methods, including machine learning. While in Michigan, Leigh volunteered as a data analyst at the Student Advocacy Center of Michigan. There, she cleaned and analyzed data from a large database of potential fundraising donors and reported on the process and results. In addition, Leigh has experience as a graduate research assistant in the Department of Psychology at the College of William and Mary. As a clinical research coordinator in the Department of Psychiatry & Neurobehavioral Sciences at the University of Virginia, she helped coordinate 12 clinical trials and utilized large databases of medical records to develop and evaluate novel research questions.
Leigh earned her PhD and MS from the University of Michigan and her MA from the College of William and Mary. She also has a graduate certificate in data science.