Speaker
Description
Synchrotrons are exotic and deeply multidisciplinary environments, where physics, engineering, computing, data science, and experimental methods constantly meet. In this context, mathematics can act both as a practical tool and as a forma mentis: a way of structuring problems, building common languages, and moving across disciplines. This short talk will reflect on one possible path among many: from theoretical mathematics to applied computing, from algorithms for data analysis to real beamtime experiments in X-ray imaging and spectromicroscopy, and onward to AI and quantum computing. The central idea is that mathematics alone is not enough: lifelong learning is a necessity. But mathematics often provides the first bridge, helping us enter new fields, understand their challenges, and contribute meaningfully to interdisciplinary research at accelerator facilities.