Academic Credentials
  • M.P.H., Quantitative Methods, Harvard T.H. Chan School of Public Health, 2023
  • Ph.D., Nutrition Science, Purdue University, 2022
  • B.S., Molecular Toxicology, University of California, Berkeley, 2014
Professional Affiliations
  • International Society for Diet and Activity Methods, 2024-present
  • Society of Behavior Medicine, 2024-present
  • American Society for Nutrition, 2023-present

Audrey Goldbaum is a nutrition scientist whose multidisciplinary expertise spans the full research lifecycle- from laboratory-based mechanistic studies to large-scale population-level dietary surveillance. This background has equipped her with a diverse toolbox of analytical and methodological skills spanning advanced statistical modeling, machine learning, and mixed-methods research design, complemented by early experience in toxicology.

Prior to Exponent, Dr. Goldbaum was a Cancer Prevention Postdoctoral Fellow at the National Cancer Institute (NCI). In this role, she led a diverse number of scientific projects in addition to co-chairing and supporting symposiums and workshops. Notably, she served as a lead analyst in support of the Scientific Report of the 2025 Dietary Guidelines Advisory Committee, where she applied complex survey methods, developed R‑based data visualization tools, and coordinated analyses across federal partners including the Department of Health and Human Services (HHS) and the United States Department of Agriculture (USDA). Her work also includes tree‑based machine learning approaches to model diet — disease relationships, mixed‑methods research, and human subjects research oversight.

Dr. Goldbaum brings experience analyzing a wide range of data types, from 16S rRNA gene sequencing to nationally representative dietary intake data, including data from the National Health and Nutrition Examination Survey (NHANES). From her time at the NCI, she gained expertise in the NCI method for estimating usual intake distributions.