Natalie Levy is a PhD student in the Department of Epidemiology. She received her BA in Economics from Tufts University and completed an MPH in Epidemiology at the Columbia University Mailman School of Public Health. Prior to beginning doctoral studies, Natalie worked at the Federal Reserve Bank of New York and in the Bureau of Tuberculosis Control at the NYC Department of Health and Mental Hygiene. Natalie currently works as a graduate research assistant for Dr. Silvia Martins studying the effects of cannabis legislation on a variety of substance use outcomes. Natalie's research encompasses substantive work on substance use, maternal/child health, and domestic violence and methodological work on improving causal inference in epidemiology. Her dissertation research explores the relationship between selection bias and collider bias and how deeper understanding of these biases may shed light on the birth weight paradox.