Leonid Gavrilov

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Leonid A. Gavrilov
Born (1954-08-28)August 28, 1954
Sverdlovsk, Russia

Leonid A. Gavrilov (born August 28, 1954 in the city of Sverdlovsk (now Ekaterinburg), Russia), is a biogerontologist and a biodemographer at the Center on Aging, National Opinion Research Center (NORC) affiliated with the University of Chicago. He specializes in the mathematical modeling of aging and mortality, biodemography and the genetics of aging and longevity. He has written two books, several chapters and numerous scientific papers.[citation needed] His book The biology of life span: A quantitative approach is cited as the recommended reference by the Encyclopædia Britannica. He is the associate editor of scientific journals Experimental Gerontology and Theoretical biology and Medical modelling and an editorial board member of Rejuvenation Research, Advanced Science Letters and The Scientific World Journal. He is also a consultant for the National Research Council and the National Institutes of Aging,[1][2] and a fellow of the Gerontological Society of America.[2] He is known for the development of the reliability theory of aging,[3][4][5] studies of the biodemography of human longevity, the compensation law of mortality, and late-life mortality deceleration. His wife, Natalia S. Gavrilova, is a frequent collaborator and coauthor.


He became interested in aging during his late teens when it became necessary to think about what he should do after high school.[1] He decided that a proper understanding of chemistry was necessary to investigate aging. Therefore he decided to study chemistry and re/eived his MSc in chemistry from Moscow State University in 1976. After his MSc in chemistry he decided to go for a PhD in genetics, which he received in 1980 at Moscow State University. After he received his PhD he spent 10 years on scientific research and self-education during which he wrote his first book 'The biology of life span'.[1][6] Afterwards he and his wife emigrated to the US where he received a grant from the US National Institute on Aging (NIA) to study the familial component of longevity. He taught 'Biodemography of human mortality and longevity' at the University of Chicago.[1] He currently works on a research project called 'Biodemography of exceptional longevity' funded by the NIA. Preliminary findings have already been published.[7][8][9][10][11][12]


  1. ^ a b c d "Pieces of the puzzle: an interview with Leonid A. Gavrilov, PhD" Rejuvenation Res, 2002, 5(3): 255-263.
  2. ^ Gavrilov LA, Gavrilova NS. "The reliability theory of aging and longevity." J Theor Biol, 2001, 213: 527-545.
  3. ^ Gavrilov LA, Gavrilova NS. "The Reliability-Engineering Approach to the Problem of Biological Aging." Annals of the New York Academy of Sciences, 2004, 1019: 509-512.
  4. ^ Gavrilov LA, Gavrilova NS. "Reability theory of aging and longevity." In: Masoro EJ, Austad SN. The handbook of the biology of aging, 6th edition. Academic Press, Burlington, Massachusetts, 2006.
  5. ^ Gavrilov LA, Gavrilova NS. "The biology of life span: A quantitative approach." New York: Harwood Academic Publishers, 1991.
  6. ^ Gavrilova N.S., Gavrilov L.A. "Ageing and Longevity: Mortality Laws and Mortality Forecasts for Ageing Populations [In Czech: Stárnutí a dlouhověkost: Zákony a prognózy úmrtnosti pro stárnoucí populace]." Demografie, 2011, 53(2): 109-128.
  7. ^ Gavrilov L.A., Gavrilova N.S. "Early-Life Predictors of Exceptional Longevity in the United States: Why Centenarians are Different from Their Shorter-Lived Siblings." Living to 100 Monograph [published online – September 6, 2011]. The Society of Actuaries, 2011, 20 pages
  8. ^ Gavrilova N.S., Gavrilov L.A. "Mortality Measurement and Modeling Beyond Age 100." Living to 100 Monograph [published online – September 6, 2011]. The Society of Actuaries, 2011, 22 pages
  9. ^ Gavrilova NS, Gavrilov LA. "Can exceptional longevity be predicted? "Contingencies (Journal of the American Academy of Actuaries), 2008, July/August: 82-88.
  10. ^ Gavrilova NS, Gavrilova LA. "Physical and socioeconomic characteristics at young age as predictors of survival to 100: a study of a new historical data resource (U.S. WWI draft cards)." In living to 100 and beyond: Survival at advanced ages [online monograph]. The Society of Actuaries, 2008.
  11. ^ Gavrilova NS, Gavrilov LA. "Search for predictors of exceptional human longevity: using computerized genealogies and internet resources for human longevity studies." N Am Actuarial J, 2007, 11: 49-67.

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