Rate My Professor Aldo Faisal

Professor Aldo Faisal is Professor of AI & Neuroscience at the Departments of Computing and Bioengineering in the Faculty of Engineering at Imperial College London, where he leads the Brain & Behaviour Lab and the Behaviour Analytics Lab at the Data Science Institute. He is Founding Director of the UKRI Centre for Doctoral Training in AI for Healthcare and holds the Chair in Digital Health at the University of Bayreuth. Faisal earned his PhD in Neuroscience from the University of Cambridge in 2004, following an MPhil in Biological Sciences from the same university in 2000. Early in his career, he was a Scholar of the German National Merit Foundation, a Fellow of the Böhringer-Ingelheim Foundation for Basic Biomedical Research, and elected Junior Research Fellow at Wolfson College, University of Cambridge. He joined Imperial College London in 2009.

His research specializes in the intersection of artificial intelligence, neuroscience, and biomedical engineering, with a focus on data-driven analysis of human behaviour, machine learning for healthcare, and developing AI clinicians. Notable contributions include the AI clinician for sepsis treatment in intensive care, published as "The artificial intelligence clinician learns optimal treatment strategies for sepsis in intensive care" (Nature Medicine, 2018), and foundational work on neural noise in "Noise in the nervous system" (Nature Reviews Neuroscience, 2008). Other key publications are "Mathematics for machine learning" (2020) and "Guidelines for reinforcement learning in healthcare" (2019). Awards include the Turing AI Fellowship (2020), Toyota Mobility Foundation award (2018, $50,000), and recognition by Scientific American for transformative research in gaze-based control (2016). Professionally, he serves on editorial boards for Nature Scientific Data and PLOS Computational Biology, has chaired conferences like NIPS and KDD, reviewed for ERC and NSF panels, and advises the German government on AI policy. He was elected to the World Economic Forum Global Futures Council in 2016.