How can we use mathematical models to inform us about infectious disease progression?
Dr. Cyrille Kenne is an Assistant Professor in the Department of Mathematics and the Institute of Applied Mathematics at the University of British Columbia. His research focuses on multiscale mathematical modeling of infectious diseases using partial differential equations. He is particularly interested in understanding pathogen-host dynamics and developing comprehensive models to analyze disease progression. Through mathematical analysis and numerical simulations, his work aims to provide insights into the complex interactions across different scales and optimize interventions for controlling infections. Additionally, Dr. Kenne formulates and solves nonlinear control problems and non-smooth control problems, with a strong emphasis on optimal control theory in biology.
Research Themes
Mathematical modeling, Mathematical Biology, Infectious diseases, disease progression, control theory, partial differential equations
Cyrille Kenne, PhD
Assistant Professor
Department of Mathematics
Institute of Applied Mathematics
University of British Columbia
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