Mini Bio: Samuel Albanie is an assistant professor in the Machine Intelligence Laboratory at the University of Cambridge in the UK. Previously, he was fortunate to be a researcher in the Visual Geometry Group and a research fellow at Balliol College, Oxford. He has an interest in the recent development of large self-supervised neural networks (sometimes referred to as “foundation models”). More broadly, his interests include algorithms that learn from limited supervision in the presence of noise and models that lie at the intersection of vision and language.

Why come to work on Computer Vision and Machine Learning in Cambridge? The author of this paragraph is not an impartial judge, but: if you’re passionate about researching and building the machines of the future, Cambridge is the place to be! It has great computing resources, beautiful scenery, and most importantly, a wonderful assembly of smart, creative and energetic people. In the winter it can get a bit chilly, so bring a warm coat.

Augmented scientists: I am interested in building tools to augment human scientists (by applying machine learning to vision, sound and text) to increase their productivity. If you are too, get in touch!

A masterfully drawn cartoon depiction of Samuel hiking cheerfully in the mountains. In the background, three guls hover in an ecologically implausible formation above snowcapped mountains. Samuel carries a stick and wears a knapsack on his back of the kind that is only used to illustrate the Knapsack Problem. The image is signed skillfully, but illegibly. It's the kind of signature that conveys a profound passion for the digital form.