Alexander Fedintsev
CSO
CSO
Alexander Fedintsev is a biogerontologist, machine-learning scientist, and longevity researcher whose work focuses on the extracellular matrix (ECM), vascular aging, and computational approaches to geroscience. He serves as Chief Scientific Officer of the Radical Life Extension Group and is an advisor to Longaevus, where his work is closely associated with ECM biology and anti-aging therapeutics.
Fedintsev is best known for advancing the idea that stochastic, non-enzymatic modifications of long-lived macromolecules - especially extracellular-matrix proteins - represent a “missing” or 10th hallmark of aging. His work with Alexey Moskalev argues that ECM damage can trigger cellular senescence, fibrosis, disruption of tissue barriers, and other age-related pathologies, making ECM repair, AGE inhibition, glucosepane breaking, elastogenesis stimulation, and RAGE antagonism promising intervention areas.
A 2022 Foresight Fellow, Fedintsev combines a background in bioinformatics, statistics, and machine learning with theoretical geroscience. Foresight describes him as a scientist and machine-learning engineer with an M.S. in computer science, prior bioinformatics work at the Institute of Antimicrobial Chemotherapy, and ongoing aging-research collaboration with Professor Alexey Moskalev. He has also developed a non-invasive biomarker of aging based on cardiovascular-system markers, and his published work on arterial indices proposed simple, cost-efficient biological-age estimators using vascular measurements such as pulse wave velocity and augmentation index.
In 2024, Fedintsev was awarded the “Rising Star” award at Longevity Summit Dublin; Aubrey de Grey reportedly noted that Fedintsev’s thinking had influenced his own views on aging. His broader output includes research and writing on geroprotectors, including a Springer chapter on machine-learning and omics-based screening of life-extending drugs, as well as translational ECM and elastin-focused work.
"Every natural science contains as much truth as much mathematics it contains." Alexander agrees with Immanuel Kant and first learned how to evaluate the rate of aging mathematically.
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