Aldo Faisal

“As the first computer scientist and engineer to be appointed to the German Ethics Council, I see myself as bearing a particular responsibility. Rapid innovations in artificial intelligence tend to make us react to technological developments rather than proactively shaping them. My goal is to use my technical expertise to ensure that ethical issues are taken into account with technical foresight from the outset when developing new technological possibilities. I therefore want to build bridges in the Ethics Council – between technological progress and ethical reflection, between innovation and social responsibility.”

• Since 2024 Co-Director, School of Convergence Science in Human and Artificial Intelligence, Imperial College
• Since 2022 W3 Chair of Digital Health and Data Science, University of Bayreuth
• 2021-2025 UKRI Turing AI Fellowship
• Since 2009 Professor of AI and Neuroscience at the Department of Bioengineering and the Department of Computing, Imperial College London
• Since 2019 Director of the UKRI Centre in Artificial Intelligence for Healthcare, Imperial College Lond
• Since 2016 Director of the Behaviour Analytics Lab at the Data Science Institute, Imperial College London
• Since 2013 Deputy Group Leader at the MRC London Institute of Medical Sciences
• Since 2010 Affiliate Faculty of the Gatsby Computational Neuroscience Unit, University College London
• 2006 PhD at the University of Cambridge
• Doctoral Fellowship for basic biomedical research from the Boehringer Ingelheim Foundation
• Fellowship of the German National Academic Foundation

• Deputy Chairman of the Global AI Action Alliance, World Economic Forum Davos
• Member of the IEEE Standardisation Group for Neurotechnologies

• 2022 Rosetree Interdisciplinary Award for the “AI Clinician”
• 2018 Research Discovery Prize of the Toyota Mobility Foundation

• Kadirvelu, B.; Gavriel, C.; Nageshwaran, S.; Chan, J.P.K.; Nethisinghe, S.; Athanasopoulos, S.; Ricotti, V.; Voit, T.; Giunti, P.; Festenstein, R.; Faisal, A.A. (2023): A wearable motion capture suit and machine learning predict disease progression in Friedreich’s ataxia. Nature Medicine, 29 (1), 86–94. DOI: 10.1038/s41591-022-02159-6
• Deisenroth, M.P.; Faisal, A.A.; Ong, C.S. (2020): Mathematics for Machine Learning. Cambridge: Cambridge University Press. DOI: 10.1017/9781108679930
• Komorowski, M.; Celi, L.A.; Badawi, O.; Gordon, A.C.; Faisal, A.A. (2018): The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care. Nature Medicine, 24 (11), 1716–1720. DOI: 10.1038/s41591-018-0213-5
• Faisal, A.A.; Selen, L.P.J., Wolpert, D.M. (2008): Noise in the nervous system. Nature Reviews Neuroscience, 9 (4), 292–303. DOI: 10.1038/nrn2258