Dr Linus Ericsson

About

I am a lecturer in AI & ML in the IDA section of the School of Computing Science. My research explores AI/ML methods to learn transferable representations of data, building efficient neural networks, and adapting these models across data shifts, all to help people solve problems reliably across different scenarios. Specific interests include representation learning, multi-modal learning, robustness, and automated machine learning (AutoML).