University of Toronto
Postdoctoral projects: Understanding the economic and nutritional costs of food purchasing behaviors across neighborhoods using machine learning approaches.
Research Interests and Future Goals: My research interests are Artificial Intelligence in Nutrition, Cardiometabolic Diseases, and Food Purchasing/Consumption Behaviors. I hope my research could provide valuable tools and evidence to better understand how food policy and shocks impact individual dietary choices and health, to nudge healthy eating behaviors, and improve public health.
Fun fact about Guanlan: Postdoctoral Fellow in Nutritional Sciences, Amazing Mom (beginner:), Foody and Hiking Lover
Explore Guanlan’s publications below:
- Hu, G., Ahmed, M., & L’Abbé, M. R. (2023). Natural language processing and machine learning approaches for food categorization and nutrition quality prediction compared to traditional methods. The American Journal of Clinical Nutrition, 117(3), 449-450. https://doi.org/10.1016/j.ajcnut.2022.11.022 (Editor’s Choice).
- Hu, G., Ling, C., Chi, L., Thind, M. K., Furse, S., Koulman, A., … & Bandsma, R. H. (2022). The role of the tryptophan-NAD+ pathway in a mouse model of severe malnutrition induced liver dysfunction. Nature Communications, 13(1), 7576. https://doi.org/10.1038/s41467-022-35317-y