STEAM Academy Seminar: Diffusion Models

by Dr Sander Dieleman (Google DeepMind)

Thursday 13 Aug 2026, 16:00 → 17:15 Europe/Zurich

500/1-001 - Main Auditorium (CERN)

Bio: Sander Dieleman is a Research Scientist at DeepMind in London, UK, where he has worked on the development of AlphaGo and WaveNet. He was previously a PhD student at Ghent University, where he conducted research on feature learning and deep learning techniques for learning hierarchical representations of musical audio signals. During his PhD he also developed the Theano-based deep learning library Lasagne and won solo and team gold medals respectively in Kaggle’s “Galaxy Zoo” competition and the first National Data Science Bowl. In the summer of 2014, he interned at Spotify in New York, where he worked on implementing audio-based music recommendation using deep learning on an industrial scale.

This seminar is part of the CERN STEAM Academy Seminar Series. 

Networking cocktail will follow the seminar. 

A public webcast will be available and accessible to external participants.

With the support of CERN's Next Generation Triggers Project.