We are all different: Modeling key individual differences in physiological systems
Talk Abstract: Mathematical models of whole-body dynamics have advanced our understanding of human integrative systems that regulate physiological processes such as metabolism, temperature, and blood pressure. For most of these whole-body models, baseline parameters describe a 35-year-old young adult man who weighs 70 kg. As such, even among adults those models may not accurately represent half of the population (women), the older population, and those who weigh significantly more than 70 kg. Indeed, sex, age, and weight are known modulators of physiological function. To more accurately simulate a person who does not look like that "baseline person," or to explain the mechanisms that yield the observed sex or age differences, these factors should be incorporated into mathematical models of physiological systems. Another key modulator is the time of day, because most physiological processes are regulated by the circadian clocks. Thus, ideally, mathematical models of integrative physiological systems should be specific to either a man or woman, of a certain age and weight, and a given time of day. A major goal of our research program is to build models specific to different subpopulations, and conduct model simulations to unravel the functional impacts of individual differences.
Bio: Anita Layton is the distinguished University Professor and Professor of Applied Mathematics, Computer Science, Pharmacy and Biology at the University of Waterloo. Her research focuses on the development and application of mathematical models to gain insights into human and mammalian physiology and pathophysiology. In particular, she is interested in the effect of sex and circadian clock in kidney function, kidney disease, diabetes, and cardiovascular disease. She is the Editor of SIAM Review Book Section, a section editor of the SIAM journal on Life Sciences, an associate editor of SIAM Journal on Applied Dynamical Systems, Mathematical Medicine and Biology, Frontier in Physiology, Maple Transactions, and an AI/ Machine Learning Section Editor for Hypertension. She is a Fellow of the Royal Society of Canada, the Canada Mathematical Society, and the Association of Women in Mathematics. She is also the 2021 winner of the Krieger–Nelson Prize of the Canadian Mathematical Society, a 2021 winner of the Top 100 Most Powerful Women in Canada by the Women's Executive Network, the 2023 winner of the Award of Merit by the Federation of Chinese Canadian Professionals, the 2023 winner of the John L. Synge Award by the Royal Society of Canada, the 2025 winner of the CAIMS Research Prize, and the 2005 winner of the Ernest H. Starling Distinguished Lecture Award, American Physiological Society Water & Electrolyte Homeostasis Section.

