Yuru Huang studies how food environments and nutrition policies shape population diets and health. Her work seeks to understand how food environments can be measured, how online platforms such as meal delivery apps personalize what individual users see, and how interventions and policies can be designed and evaluated to promote healthier diets.
Huang applies data science to measure food environments at scale. For example, she has used web scraping to build a longitudinal restaurant nutrition database, Google Street View images to develop neighborhood level indicators, and computer vision pipelines to automate retail food environment assessments. She also uses randomized trials and natural experiments to study nutrition policies, including front-of-package nutrition labeling and healthy checkout policies. Her current work focuses on meal delivery apps, including how recommendation algorithms shape what users see and how these systems might be redesigned to promote health.
Before joining WashU, Huang was an assistant professor in the Department of Preventive Medicine at the University of Tennessee Health Science Center. She earned her PhD in medical science from the University of Cambridge as a Gates Cambridge Scholar and her MHS in epidemiology from the Johns Hopkins Bloomberg School of Public Health. She completed postdoctoral training at the University of California, Davis, and previously spent nearly four years as a data scientist (staff fellow) at the U.S. Food and Drug Administration’s (FDA) Center for Food Safety and Applied Nutrition, where she worked on federal nutrition policy.
Areas of Focus:
- Digital food environments
- Food and nutrition policy
- Dietary public health
- Big data applications in nutrition
- Food systems
Featured Publications
- Effects of added-sugar warning labels on restaurant menus in the USA: an online randomised controlled trial
The Lancet Public Health
June 2026 - Impact of the Food and Drug Administration’s proposed front-of-package label and alternative designs on consumer understanding: A randomized experiment
American Journal of Preventive Medicine
May 2026 - Menu item prices and promotions offered on a meal delivery app in the UK and their socio-economic patterns
Public Health Nutrition
June 2025 - Assessing the healthiness of menus of all out-of-home food outlets and its socioeconomic patterns in Great Britain
Health & Place
January 2024