My work builds on methods and concepts from physics and bioinformatics and applies them to fundamental problems in neuroscience. In particular, I am interested in the structure-function relationship in brain networks, from the microscopic scale of neurons to the large-scale connectivity of brain regions, in both health and disease. Insights into these questions are not only fascinating in their own right, but have important implications for our understanding and therapeutic approaches to cognitive impairments associated with psychiatric disorders, brain injury and ageing.
I received a masters degree in theoretical physics and a PhD in artificial neural networks from the University of Cambridge, UK. I am also one of the co-founders and organizers of the Cambridge Networks Network (CNN), a forum for academics across different disciplines who share an interest in Network Science. In 2014 I was awarded an MRC fellowship in Bioinformatics. In 2016, I was named to Foreign Policy magazine’s Top 100 Global Thinkers for my work as part of the NSPN consortium, merging insights from brain imaging with gene expression data from the Allen Brain Atlas.
The Research page briefly introduces the topics on which I have worked so far, as well as some of the online resources which I used when getting started in each of these areas. I hope you find these as useful as I have.