Ms Chloé Colson

College Lecturer in Applied Mathematics

I am a final year DPhil candidate in Mathematical Biology at the University of Oxford, working under the supervision of Professors Helen Byrne and Philip Maini. Prior to starting my doctorate, I completed a bachelor’s degree in Mathematics at the University of Warwick and a master’s degree in Mathematical Sciences at the University of Oxford. As a College Lecturer at Pembroke, I teach first and second year applied mathematics courses, such as Multivariable Calculus, Probability, Statistics and Graph Theory.

My research focuses on the development and analysis of mathematical models that describe solid tumour growth, invasion and response to treatment. By studying these models and integrating them with complex, multiscale cancer datasets, I aim to both identify the biological mechanisms that underpin experimentally and clinically observed tumour behaviours and guide experimental design. In this way, I aim to increase our understanding of cancer development and evolution and how these processes relate to tumour sensitivity to treatment. Ultimately, my research is motivated by the need to improve patient prognosis via patient-specific treatment design.

Ms Chloé Colson

College Lecturer in Applied Mathematics

I am a final year DPhil candidate in Mathematical Biology at the University of Oxford, working under the supervision of Professors Helen Byrne and Philip Maini. Prior to starting my doctorate, I completed a bachelor’s degree in Mathematics at the University of Warwick and a master’s degree in Mathematical Sciences at the University of Oxford. As a College Lecturer at Pembroke, I teach first and second year applied mathematics courses, such as Multivariable Calculus, Probability, Statistics and Graph Theory.

My research focuses on the development and analysis of mathematical models that describe solid tumour growth, invasion and response to treatment. By studying these models and integrating them with complex, multiscale cancer datasets, I aim to both identify the biological mechanisms that underpin experimentally and clinically observed tumour behaviours and guide experimental design. In this way, I aim to increase our understanding of cancer development and evolution and how these processes relate to tumour sensitivity to treatment. Ultimately, my research is motivated by the need to improve patient prognosis via patient-specific treatment design.