Nathalia Cespedez
Zeinab Ghannam
Antigone Fogel
Louise Rigny
Anastasia Gailly de Taurines
Chloe Walsh
Samaneh Kouchaki
MSc Student
Researcher
PhD Student
Postdoc
Faculty
Francesca Palermo (prev. Postdoc), Ruxandra Mihai (prev. Researcher), Tianyu Cui (prev. Postdoc), Yushan Huang (prev. PhD), Nivedita Bijlani (prev. PhD), Yu Chen (prev. Postdoc), Alexander Capstick (prev. PhD), Jin Cui (prev. MPhil).
Our lab develops next-generation machine learning methods to transform clinical care, with a strong focus on dementia, rare and complex conditions, and multimodal biomedical data. Our work integrates electronic health records (EHR), imaging, genomics, and time-series data to develop predictive, explainable, and clinically deployable models.
Our mission is to utilise artificial intelligence to improve the lives of people across the lifespan. We work with clinicians and people with lived experience to develop accessible tools that support earlier detection of dementia, offer clearer insights into long-term health journeys, and guide better decisions in everyday care. By combining data from the brain, body, and clinical records, we aim to gain new insights into conditions such as Alzheimer’s and to create AI systems that are trustworthy, transparent, and ready for use in real-world healthcare settings. We also work on rare and complex conditions in paediatric medicine by developing digital consultation tools that can help clinicians make more informed decisions. Above all, our work is driven by a belief that technology should empower, not replace, the people who care for others.
Our research has been supported by the UK Dementia Research Institute (UK DRI), Medical Research Council (MRC), Alzheimer’s Research UK, Alzheimer’s Society, UKRI Engineering and Physical Sciences Research Council (EPSRC), the National Institute for Health and Care Research (NIHR), Wellcome Trust, the NIHR Imperial Biomedical Research Centre (BRC), Great Ormond Street Hospital, and the Royal Academy of Engineering.
Our lab offers the “Machine Learning for Neuroscience” module for MSc Computational Neuroscience students at Imperial College London. The module is taught by Professor Payam Barnaghi and runs during the Spring semester. More information can be found at: https://ml4ns.github.io/
Some of our recent publications are listed below:
If you want to contact us for collaborations or questions, please feel free to contact us at the following: p.barnaghi@imperial.ac.uk