My research and projects

Although my training is primarily mathematical, over the years I have progressively integrated the biomedical knowledge needed to work on genuinely applied problems in oncology. This has led me to develop a strongly interdisciplinary research profile, to the point that I now see my work as lying halfway between mathematics and biomedical research.

The research environment I aim to build is one in which mathematical modelling remains closely connected to experiments and clinical questions. I want to be able to enter the laboratory, understand how the data are generated and what the experiment is designed to test, and then construct mathematical models specifically around the biological or clinical problem at hand. In the longer term, my goal is to develop a small research line — and eventually a group — built around this way of working.

A central part of what motivates me is the process of scientific translation in both directions. From biology to mathematics, I aim to identify the essential mechanisms underlying complex biological processes and translate them into mathematical systems that can be decomposed, analysed, and recombined in a controlled way. From mathematics back to biology, I am equally interested in giving mathematical predictions a clear biological, experimental, and ultimately clinical interpretation.

For me, mathematical modelling is therefore not only a tool for describing biological systems, but a way of creating a common language between disciplines: one that can connect experimental observations, mechanistic hypotheses, quantitative inference, and clinically relevant questions.