Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

Collaborators

  • Dan Woodcock
    Dan Woodcock

    Group Leader in Translational Data Science

  • Ian Mills
    Ian Mills

    John Black Professor of Prostate Cancer, Interim Head of Department, Group Leader

Jens Rittscher

Professor of Engineering Science

Willem Bonnaffé

MSc, PhD


Postdoctoral Data Scientist

I currently work on identifying morphological signatures of metastasis in prostate cancer, using AI and image analysis. Metastasis can lead to more aggressive forms of cancers, so that early and precise identification of metastasis, or lack thereof, can help avoiding heavy and costly treatments.

I also combine mathematical models describing the evolutionary dynamics of cancerous cells with tissue images obtained from biopsies to learn the drivers of cancer progression. These models will help further our understanding of how the morphology of the tissue changes with cancer stage, and how this is underpinned by changes in the biology and structure of cell communities.

My background is in mathematical modelling and evolutionary biology. I obtained a BSc in Life Sciences at Université Pierre et Marie Curie in 2013, and an MSc in Evolutionary Biology in 2017 at Ecole normale supérieure, Ulm.

I completed a PhD in Mathematical Biology at the University of Oxford in 2021, during which I developed neural ordinary differential equation models to study feedbacks between ecological and evolutionary change in natural systems, such as in Darwin’s finches.