Natalie Riva Smith

Natalie Riva Smith is an Assistant Professor in the Department of Health Policy and Management at the University of Pittsburgh, specializing in public health policy implementation science with emphasis on tobacco control and nutrition policy compliance.

Her educational foundation includes:

• BS from Purdue University (2015)
• MS from Gillings School of Global Public Health, UNC-Chapel Hill (2017)
• PhD from Gillings School of Global Public Health, UNC-Chapel Hill (2021)

Dr. Smith's research investigates how public health policies translate into real-world practice, focusing on implementation measurement frameworks, compliance mechanisms for tobacco and nutrition regulations, and decision-maker communication strategies. Her work reveals how policy design and implementation processes directly impact health outcomes, particularly regarding sugary drink consumption and smoking cessation. She pioneers methods to quantify implementation costs and develop decision support tools that align with policymakers' information needs.

Analysis of her publications (2020-2025) shows consistent focus on bridging implementation science with practical policy application. Her work integrates health economics, simulation modeling, and behavioral science to address implementation gaps in tobacco control and nutrition policy, with increasing emphasis on tailored communication strategies for diverse stakeholders.

Her scientific recognition includes:

• K99/R00 Career Development Award for tobacco control decision support tool development

Dr. Smith's grant portfolio centers on her NIH-funded K99/R00 project combining decision science with stated preference methods to optimize tobacco prevention communication. While student mentorship details aren't specified, her collaborative publications with institutions like UNC-Chapel Hill and Harvard indicate active research supervision. Current projects address critical gaps in policy implementation modeling and sugary drink regulation effectiveness.

Her interdisciplinary approach involves collaboration with economists, epidemiologists, and policy analysts across multiple institutions, though specific lab structures aren't detailed in available materials.