Dr. Aldo Faisal

Professor

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Biography

Professor Aldo Faisal is a noted academic in the field of AI and Neuroscience at Imperial College London. He is the founding director of the £20 million UKRI Centre for Doctoral Training in AI Healthcare, aimed at training PhD fellows and transforming AI in healthcare research. He holds a chair position in Digital Health at the University of Bayreuth, Germany, and leads the Brain & Behaviour Lab at the Data Science Institute, focusing on neurotechnology and the interplay between AI and behavioral analytics. Aldo has established a cross-disciplinary lab that operates between the UK and Germany, utilizing various methodologies including machine learning and non-invasive brain imaging to innovate therapies for neurological disorders. He is an associate editor for major publications and has actively contributed to global discussions on AI through various prestigious platforms, including the World Economic Forum. Aldo's commitment to academia is reflected in his numerous awards and recognitions, including the Global Futures Council election and his research being featured internationally in media outlets. He emphasizes a data-driven approach to understanding human behavior, developing methodologies that aim to glean insights from big data to enhance psychological well-being.

Research Interests

Experience

Professor of AI & Neuroscience

— Present

Imperial College London • London, United Kingdom

Requirements for Imperial College London

Master Program
Requirements
GPA Requirement
Required:3.5
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:7
TOEFL
Listening
Required:22
Reading
Required:22
Writing
Required:22
Speaking
Required:22
Total
Required:100
Duolingo
Overall Score
Required:125
Overall
Required:125
Prerequisites
Materials Science Mechanical Engineering Civil Engineering Chemical Engineering Physics Chemistry
Application Checklist
  • Personal statement
  • CV/resume
  • Official university transcripts
  • Two academic or professional references
  • Application fee (£90)
Specialization Notes

Specialisms available in Materials for the Energy Transition or Theory and Simulation of Materials.