Aldo Faisal

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

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

Focus of the commitment in the German Ethics Council