Dr. Linus Ericsson

Biography

Linus Ericsson is a Lecturer in Artificial Intelligence and Machine Learning at the University of Glasgow. His research primarily focuses on developing AI and machine learning methods that enable the learning of transferable representations from data, constructing efficient neural networks, and adapting models to shifts in data. He is particularly interested in representation learning, multi-modal learning, robustness, and automated machine learning (AutoML). Linus is currently seeking PhD students and is involved in several projects such as the IAPETUS project, which aims to improve biodiversity monitoring through AI citizen science. Before his current role, he was a postdoctoral researcher at the University of Edinburgh, working on AutoML and efficient neural network architectures. He earned his PhD from the University of Edinburgh, with a thesis on Self-Supervised Learning of Transferable Representations, supervised by Tim Hospedales. Throughout his career, he has presented papers at major conferences like NeurIPS and CVPR and has collaborated with leading researchers in the field.

Research Interests

Experience