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Troy Day is a Professor and Head in the Department of Mathematics and Statistics at Queen's University. He specializes as an applied mathematician, focusing on mathematical biology. His research primarily develops theories in evolutionary biology and involves a range of mathematical topics including deterministic and stochastic dynamical systems, game theory, optimization theory, and information theory. Day's work addresses critical questions in the field such as designing disease treatment strategies that optimize efficacy while minimizing the evolution of treatment resistance. He also utilizes mathematical models to infer properties of new genetic variants in infectious diseases from vast epidemiological and genetic data. His research aims to provide insights into the predictability of evolution by examining the interplay of deterministic and stochastic processes within populations, along with exploring fundamental limitations in making evolutionary predictions in relation to computability theory and mathematical logic. Day is interested in recruiting graduate students who possess a strong mathematical background and are keen on exploring evolutionary biology.
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