Foodomics
Figure 1 from Reisendorph et al. Scientific Reports (2020)
Identifying foods and food compounds in healthy diets leading to improved health outcomes
Nicholas Weaver
PhD in Applied Mathematics emphasis in Statistics (2022)
Audrey E. Hendricks
Associate Professor of Statistics
I am committed to increasing opportunities for all people to learn about statistics, machine learning, and science. I am motivated to ask novel research questions and ensure the research is robust and accurate. My research interests include developing and applying statistical/machine learning methods across genomics and biomedical informatics to better understand and inform health and disease.
Publications
Nutrimetabolomics reveals food-specific compounds in urine of adults consuming a DASH-style diet
Although health benefits of the Dietary Approaches to Stop Hypertension (DASH) diet are established, it is not understood which food compounds result in these benefits. We used metabolomics to identify unique compounds from individual foods of a DASH-style diet and determined if these Food-Specific Compounds (FSC) are detectable in urine from participants in a DASH-style dietary study. Overall, this proof of principle study demonstrates that metabolomics can be used to catalog FSC, which can be detected in participant urine following a dietary intervention.
