I have extensive experience in applying statistical methods to research problems that work towards social good. In my second year, I was an NSF Big Data Social Science IGERT (Integrative Graduate Education and Research Traineeship) Fellow. My past and current research lies at the intersection of criminology, public health, public policy, spatial statistics, and computing. I analyzed and created new spatio-temporal models of crime, while also incorporating social proximity through a network approach to neighborhoods. This Big Data Social Science Fellowship has allowed me to work with statisticians, political scientists, sociologists, geographers, computer scientists, and many more.