Jillian (Jilly) Hebert is a Research Data Analyst at the University of California, San Francisco (UCSF). Jilly graduated with her master’s degree in applied statistics from the University of Wisconsin, La Crosse. During her time at UCSF, Jilly has focused on projects examining the impacts of education and educational interventions on later life dementia and cardiovascular health. Conceptualizing and implementing novel approaches to identify heterogeneous treatment effects, like quantile regression, has been a large part of this work. Her research interests are rooted in the intersection of statistics and sociology with particular focus on vulnerable populations.