Shiro Horiuchi’s main research interests are in aging and longevity, data analysis methodology, and mathematical models of population dynamics. He has developed several new methods for demographic analysis (including the general age structure equation, life table aging rate analysis, and line-integral method of decomposition analysis). His major empirical findings include differential patterns of old-age mortality among major diseases, differential patterns of old-age mortality between long-lived and short-lived animal species, time trends in old-age mortality deceleration, and cohort variations in old-age mortality among survivors of the First and Second World Wars. Presently, he is conducting research on international comparison of longevity trends in high-income countries, cohort variations in adult mortality, and methodology for measuring and analyzing old-age mortality compression.

He was born and raised in Tokyo, Japan, received a Ph.D. from Johns Hopkins, and worked previously at the Office of Population Research at Princeton University (1979-1981), the Population Division of the United Nations (1981-1990), and the Laboratory of Populations at Rockefeller University (1990-2007). Research grants awarded to him include two research career development grants, K01 (1993-1998) and K02 (1998-2003), from the National Institute of Health, and he served as a regular member of an NIH Initial Review Group (1999-2003). Currently, he is teaching courses on biostatistics (SPH) and demographic methods (Graduate Center).



  • PhD in Sociology from Johns Hopkins University, Baltimore, MD
  • MA in Sociology from Keio University, Tokyo, Japan


Research Interests

Aging and longevity, data analysis methodology, mathematical demography