DATA SCIENTIST · MATHEMATICAL MODELLER
Turning complex data and strategic interactions into useful insight.
I combine data analysis, scientific computing, and a research background in evolutionary game theory. My current focus is sports strategy and performance, and I am also open to data-science opportunities in other fields.
Featured project
SCIENTIFIC SOFTWARE · PYTHON
pyNamo-EGT
A Python package for plotting and analysing replicator dynamics in evolutionary games, with equilibrium analysis, publication-quality visualisations, and interactive notebooks.
What I bring
Mathematical modelling
Formal models for complex, adaptive systems and strategic interactions.
Scientific computing
Reproducible analysis and numerical tools built with Python and its scientific ecosystem.
Clear communication
Visual and written explanations that make technical results useful to a wider audience.
From research to data science
My academic work examined learning, decision-making, and adaptation in changing social environments. It developed the modelling, analytical, and computational skills I now bring to data science. Explore my research background or see my publications.