About FoodAtlas
Meet and connect with the team behind FoodAtlas
FoodAtlas is an ongoing, USDA-NSF-funded research project dedicated to creating a comprehensive knowledge base where every piece of data is traceable back to its source. We use AI to survey the ever-expanding body of peer-reviewed scientific literature and capture the relationships between foods and their chemical components. For an in-depth description of FoodAtlas, please refer to our background page or to the full publication.
For questions, or any other inquiry, such as requesting data access, please use our contact form.
Research Team
Publications
- Li, F., Youn, J., Xie, K., Chan, T., Gupta, P., Yoo, A., ... & Tagkopoulos, I. (2026). A unified knowledge graph linking foodomics to chemical-disease networks and flavor profiles. npj Science of Food. https://doi.org/10.1038/s41538-025-00680-9
- Youn, J., Li, F., Simmons, G., Kim, S., & Tagkopoulos, I. (2024). FoodAtlas: automated knowledge extraction of food and chemicals from literature. Computers in Biology and Medicine, 181, 109072. https://doi.org/10.1016/j.compbiomed.2024.109072
- Youn, J., Li, F., & Tagkopoulos, I. (2023). Semi-automated construction of food composition knowledge base. In 2nd AAAI Workshop on AI for Agriculture and Food Systems. https://doi.org/10.48550/arXiv.2301.11322
About AIFS
The AI Institute for Next Generation Food Systems, or AIFS aims to meet growing demands in our food supply by increasing efficiencies using Al and bioinformatics spanning the entire system–from growing crops through consumption. We are dedicated to creating AI applications for a healthier, more sustainable planet from farm to fork.
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