I am an Associate Research Scientist in the Center for Complex Network Research (CCNR), with interests in the emerging field of Network Neuroscience. I have a Masters in Mathematics and Physics from the University of Warwick (2011), and received my PhD from the University of Cambridge (2015). My expertise lies in investigating the topology and organisational principles of various kinds of brain networks, from C. elegans to mouse to human. I am currently working on applying and adapting techniques from network control theory to probe neuronal or near-neuronal level wiring diagrams from smaller organisms. I co-instruct Phys 5116: Complex Networks alongside Prof. Albert-László Barabási, and am invested in bringing Network Science approaches to broader audiences and educational settings.
The brain must control its behaviour. Elucidating the structural requirements to facilitate this can reveal fundamental organising principles and mechanisms pertaining to the function of neuronal systems, and constraints of their connectome.
Time and again, studies into the topology of brain networks across different species, scales, amd modality recover the same topological features. But these networks are also physical objects, and we are just starting to learn about their spatial properties.
From the interactions of proteins and genes and within the cell, to neuronal circuitry, to correlations between macroscopic brain regions, the brain is inherently, at all spatiotemporal scales, a network.
Recent studies on the controllability of complex systems offer a powerful mathematical framework to systematically explore...
Lesioning studies have provided important insight into the functions of brain regions in humans and other animals...
There is increasing interest in topological analysis of brain networks as complex systems...
Graduate level course introducing the fundamentals of Network Science at Northeastern University.
We live an increasingly interconnected world, and systems thinking is not only important it is inevitable.