Tools for measuring biological aging
Open-source software that makes biological age measurable across cohorts
People of the same age can be biologically older or younger than their years. Biological age measures that difference, and I develop open-source software so that researchers can compute it the same way across datasets.
BioAge R package
I developed the BioAge R package, which implements three published methods for quantifying biological age from routine blood chemistry and organ function tests: Klemera-Doubal Method biological age, phenotypic age, and homeostatic dysregulation. The package trains the algorithms in NHANES and projects them onto new datasets, so that researchers can measure biological aging in their own cohorts.
Applications
These measures support studies of how everyday exposures relate to aging. For example, in a nationally representative sample of US adults, higher intake of ultra-processed food was associated with older biological age.
I also contributed to Biolearn, an open-source framework from the Biomarkers of Aging Consortium that standardizes the evaluation of 39 aging biomarkers across more than 20,000 individuals.
Selected references
Kwon D, Belsky DW. A toolkit for quantification of biological age from blood chemistry and organ function test data: BioAge. GeroScience. 2021.
Cardoso BR, …, Martinez Steele E. Association between ultra-processed food intake and biological ageing in US adults: findings from National Health and Nutrition Examination Survey (NHANES) 2003-2010. Age and Ageing. 2024.
Ying K, …, Gladyshev VN. A unified framework for systematic curation and evaluation of aging biomarkers. Nature Aging. 2025.