Robert Schell is a PhD Student in the Health Policy and Management Department at the UC Berkeley School of Public Health. His research is focused largely on performing cost-effectiveness analyses and evaluations of policies targeting chronic disease at a population-level and understanding the costs and consequences of chronic disease through causal inference methods. He has also done work employing machine learning to target resources to combat the opioid epidemic. He has an MS in Applied Economics from Cornell University and a BA in Economics from Denison University.