About

I am a data scientist and mathematical modeller with a research background in theoretical evolutionary biology. I am interested in applying modern statistical techniques and strategic modelling to all kinds of data, with a special interest in elite sport and athletic performance.

I invite you to explore my data science portfolio. It features in particular pyNamo-EGT, my Python package for analysing and visualising evolutionary game dynamics.

My previous academic work focused on learning, decision-making, evolutionary and stochastic game theory, and dynamical systems. It taught me how to formalise complex questions, develop mathematical and computational models, analyse results critically, and communicate technical ideas clearly. You can read my publications for more details.