Math and Computer Science LTU Students develop a mathematical model of human aging

Release Date: March 14, 2017

LTU computer science and math double-major Erin Lixie and math major Jameson Edgeworth analyzed longitudinal medical and physiological data from over 5000 people and developed a quantitative model of the human aging. The model shows that the human aging does not progress in a continuous linear fashion, but instead exhibits several stages separated by short periods of rapid aging. It also discovered that the fastest aging occurs around the age of 55.

human aging analysis

Human aging is explained by two competing paradigm: One is that aging is the process of stochastic accumulation of irreparable environmental damage, and the other is that aging is driven by biological pathways “programmed” in our body. The study done by the two undergraduate students shows strong evidence that aging is controlled by biological mechanisms, making a significant breakthrough in the field.

Their research was peer-reviewed by one of the world’s most renowned aging researchers, and was published in Gerontology in the journal Gerontology.


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