I work with code as material — building responsive systems that generate, react and sometimes fail in interesting ways. My practice spans physical computing, machine learning, and real-time audiovisual performance, developed mostly in collaboration with musicians, theatres, and collectives. A lot of my work starts with travel — absorbing a place, recording it — and ends up on stage as a live trip.

I'm most drawn to collaboration with musicians, dancers, performers, and to the specific tension of building systems that have to work live, in front of people, in real time.

I teach Creative Coding at SWPS University in Warsaw, and give workshops and talks on generative art, physical computing, and creative uses of technology. I'm interested in AI as a medium for exploration rather than a productivity tool — something to work with, push against, and misuse deliberately.

I completed the Data Science, ML & AI bootcamp in Berlin in 2026, adding machine learning pipelines, LLMs, and Python-based data work to a toolkit that already included TouchDesigner, Max MSP, Arduino, WebGL, Processing and many others.

My way in was Sinology — a degree and a semester in Chongqing. Learning Mandarin from scratch prepared me for code more than any tutorial. Both demand patience, constant updating, and comfort with never being fully fluent.