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I am a researcher in theoretical particle physics, working primarily on computational and phenomenological aspects of the strong interaction. Much of my work revolves around Monte Carlo event generators: how they are constructed, how they encode physical models, and how they are used to connect theory with experimental data.

A central part of my research activity is the development of PYTHIA, one of the most widely used tools for simulating high-energy particle collisions. I also contribute to analysis and validation frameworks such as RIVET, which play a key role in comparing theoretical predictions to experimental measurements. Earlier in my career, I was involved in the development of the DIPSY event generator; many of its ideas now live on in other frameworks. More recently, my interest has expanded toward the intersection of classical physics simulation and machine learning, and I am part of the MLhad ↗ collaboration.

This website serves as a curated collection of material related to my work: talks, notes, small tools, and code experiments that do not naturally belong in formal publications. Most content here is static and intended for reference rather than presentation.

For publications, see the link to InspireHEP above. For ongoing work, code, and experiments, the Playground section is usually the best place to start.