Welcome to my website!

I am an interdisciplinary researcher specialising in complex systems and network science. My work bridges the gap between theoretical development, statistical inference, and practical industrial applications.

Rather than viewing complex systems as mere collections of parts, I focus on the intricate web of interactions that define them. My research utilises network science as a primary lens to decode the underlying architecture of such systems, encompassing the development of both mathematical frameworks and the specialised software required to analyse them.

From the microscopic scale of biochemical pathways and chromosomes to the macroscopic complexity of social structures and engineered infrastructures, a network perspective provides a direct route to understanding emergent behaviour. By representing these diverse systems as networks, we can reveal fundamental structural constraints, predict dynamical shifts, and design effective interventions.

My professional mission is to develop broad classes of generalised network theory that are directly applicable to real-world challenges. I aim not only to generate new theoretical insights but also to translate these findings into robust, practical tools for the wider scientific and engineering communities.

Research & Study Interest

• Mainly in the Statistical Mechanics aspect of Network Science

◦ General and mathematical aspects of networks

hypergraphs, networks with complex weights, community detection, dynamical systems, percolation

◦ Interdisciplinary topics in complex systems

metabolism system, epidemics, evolutionary game theory, applied graphs, etc.