AI@Manchester

Formerly the Institute for Data Science and AI, AI@Manchester provides the access point to the University's expertise in data science and AI.

The AI@Manchester theme (formerly the Institute for Data Science & Artificial Intelligence) was created to act as an access point to the University’s expertise in data science and artificial intelligence, facilitates interactions between researchers and problem holders, owns the University’s data science strategy, and delivers sustainable support for the community.

Mauricio A. Alvarez

Mauricio is a Reader in Machine Learning in the Department of Computer Science, internationally known for his work on multi-output Gaussian processes and physically-inspired probabilistic modelling.

Dr Álvarez is the Director of a UKRI AI Centre for Doctoral Training on Decision Making for Complex Systems at Manchester. He is Associate Editor for the Transactions on Machine Learning Research OpenReview journal. For many years, he has been Area Chair for several top machine learning conferences, including the Advances in Neural Information Processing Systems (NeurIPS) conference, the Uncertainty in Artificial Intelligence (UAI) conference, the International Conference on Learning Representations (ICLR), the AAAI Association conference and the Artificial Intelligence and Statistics (AISTATS) conference.

He is also a member of the Centre for AI Fundamentals and of the ELLIS Manchester unit. He is also part of the Steering Committee of the ELLIS Manchester unit. Dr Álvarez co-organises the Gaussian Processes and Uncertainty Quantification Summer School and the ELLIS Manchester Summer School on Machine Learning for Healthcare and Biology both at Manchester.

"Manchester is developing an exciting ecosystem of AI initiatives by investing heavily in AI research and translation across our three Faculties. As AI@Manchester theme lead, I will help the University to ensure a coherent AI strategy around research and innovation activities, as well as foster links among researchers in the Digital Futures platform, looking to strengthen multidisciplinary teams to address new collaboration opportunities, which include a forward-looking and down-to-earth AI component."