Selected Talks
← Andreas DamianouA selection of talks grouped by topic. If you are interested in having me speak at your event, please get in touch.
Personalization & (Generative) AI at Scale
“Scaling Personalization: AI and Recommender Systems at Spotify”
University of Amsterdam, 2025.
“Foundational Representation Learning for Personalization”
King’s College London, 2025.
Also presented at Sant’Anna School of Advanced Studies (Pisa) and University of Sheffield.
Graph Learning for Recommendations
“Towards Graph Foundation Models for Personalization”
Edinburgh AI Society, 2024.
“Podcast Recommendations and Search Query Suggestions using Graph Neural Networks at Spotify”
Stanford Graph Learning Workshop, 2022.
Video
Also presented at Pinterest.
Deep Gaussian Processes
“Deep Gaussian Processes — Test of Time Award”
AISTATS, 2023.
Slides
“Variational Inference in Deep Gaussian Processes”
Keynote, NIPS Workshop on Approximate Bayesian Inference, 2017.
Slides
Also presented at Harvard University, Microsoft Research, University of Cambridge, Imperial College London, Brown University, Alan Turing Institute, University of Manchester, and others.
Uncertainty & Probabilistic Deep Learning
Also presented at Deep Learning Summit (London), University of Warwick, and University of Bristol.
Transfer Learning & Meta-Learning
“Fast Computation with Linearized Neural Networks for Domain Adaptation”
Microsoft Research / University of Cambridge, 2020.
Slides
Teaching & Outreach
Founding member of Data Science Africa.
“Introduction to Large Language Models and Prompt Engineering”
Data Science Africa, Kenya, 2024.
“Introduction to Deep Learning”
Also presented at Data Science Africa — Tanzania (2017) and Kampala (2020).
Video (Kampala)