Danielle Lemay

AI can help consumers understand the health effects of their food beyond Nutrition Facts Labels. The goal is to empower users to know what they eat and how it affects their health. We will develop a "food photo to ingredients" and an "ingredients to health outcome" module. In collaboration with the Dietary Assistant project, these will integrate into a mobile app.

Our goal is to deliver healthy foods at low cost to improve nutrition for all Americans. Advances in chemistry reveal thousands of unique food molecules. This project extends ML models to include the gut microbiome and explores cost-health trade-offs in dietary choices.

Utilizing AI, researchers aim to enhance real-time dietary assessment using photo diaries. The project's long-term goal is to develop modules linking food photos to ingredients and ingredients to health outcomes, incorporating novel data types like the glycome of food and hierarchical dietary representations for improved predictions.