I am a first year PhD student funded by the Medical Research Council, specialising in Artificial Intelligence and Computational Neuroscience.

My research interests focus on building top-down and bottom-up computational models of the brain to better understand and treat different neurodegenerative diseases (e.g. Multiple Sclerosis, Parkinson’s or Alzheimer’s). I am interested in working on research projects that cross the boundaries between artificial intelligence (AI) and the clinics, with the aim of making AI actually applicable in clinical practice. I work on data-centric and explainable AI, with a special interest towards graph machine learning.

I enjoy teaching, both inside and outside academic environments. You can check out a detailed list in my Teaching page.

Key topics

  • Computational Modelling
  • Machine Learning
  • Explainable AI
  • Graph ML
  • Cognitive Neuroscience


  • MRes Biomedical Research (Data Science) - Imperial College London
  • MA Health Humanities - UCL
  • BSc Molecular Biotechnology - Heidelberg University