Tomek Roszczynialski
Tomek is a data scientist and machine learning developer with a background in, and a passion for, physics.
He has been involved in multiple data-heavy projects, from setting up signal processing pipelines handling data from thousands of cardiology patients to building industrial automation software in Polish cement plants.
In his spare time, Tomek trains multi-billion-parameter transformer models to play progressive piano music.
Session
Sonification–using sound to represent data–is a niche technique for exploring complex patterns, expanding the sensory dimensions of data analysis, and discovering musical ideas that are otherwise inaccessible.
In this hands-on session, participants will learn the ins and outs of building sonification pipelines through practical examples with data from healthcare and physics. We’ll also cover key software design considerations for creating flexible and expressive systems that map data into sound. Whether you're a developer, data scientist, researcher, educator, or artist, this session will help you listen to your data.