Anotida Madzvamuse
Professor of Mathematics
University of British Columbia
Anotida Madzvamuse
Professor of Mathematics
University of British Columbia
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Professor of Mathematics
University of British Columbia
I am currently a Full Professor in the Department of Mathematics at the University of British Columbia (UBC). Prior to joining UBC, I served as Professor of Mathematical and Computational Biology at the University of Sussex (2006 - 2022: rising from Assistant, Associate to Professor).
I am currently a Full Professor in the Department of Mathematics at the University of British Columbia (UBC). Prior to joining UBC, I served as Professor of Mathematical and Computational Biology at the University of Sussex (2006 - 2022: rising from Assistant, Associate to Professor).
My Research
My Research
My research explores new mathematics at the interface of applied and pure math, using differential geometry, biology, and biophysics to study single and collective cell migration in complex non-isotropic environments. Through a data-driven modelling approach, I formulate coupled systems of bulk-surface partial differential equations on domains and surfaces/manifolds that continuously evolve/deform in space and time. The goal is to develop in-silico computational cells that encode key biophysical and molecular properties of single cells, enabling rapid exploration of drug delivery and therapeutic drugs for disease modelling such as cancer.
My research explores new mathematics at the interface of applied and pure math, using differential geometry, biology, and biophysics to study single and collective cell migration in complex non-isotropic environments. Through a data-driven modelling approach, I formulate coupled systems of bulk-surface partial differential equations on domains and surfaces/manifolds that continuously evolve/deform in space and time. The goal is to develop in-silico computational cells that encode key biophysical and molecular properties of single cells, enabling rapid exploration of drug delivery and therapeutic drugs for disease modelling such as cancer.
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