Research
My research lies at the interface of computational statistical physics, soft matter, and biophysics. Using large-scale molecular simulations together with data-driven methods, I study how intrinsically disordered proteins organise themselves in space and time, and how their collective behaviour gives rise to biomolecular condensates through liquid–liquid phase separation.
Research Themes
Computational statistical mechanics
I use the framework of statistical mechanics to understand how the interactions between many individual components give rise to the collective, emergent behaviour of a system. Combining theory with large-scale molecular simulations and careful statistical analysis, I connect microscopic models to measurable macroscopic properties — and develop the sampling methods needed to explore the relevant configurations efficiently.
Multiscale simulations
Soft and biological matter span an enormous range of scales, from single molecules to micron-sized assemblies evolving over milliseconds. I build and apply multiscale molecular-dynamics models that trade atomistic detail for coarser representations where appropriate, making these large, slow processes accessible on high-performance computing clusters while keeping the physics that matters.
Machine learning for complex systems
Simulations produce vast, high-dimensional datasets that are hard to interpret by hand. I apply machine-learning and data-driven methods to uncover the collective variables that capture a system's essential dynamics, to learn structure–property relationships, and to build reduced models — turning raw trajectories into physical insight.
Active matter
Active matter is built from units that consume energy to move or exert forces, driving the system permanently out of equilibrium. I study how this local activity produces large-scale collective motion, pattern formation, and self-organisation — behaviour with no equilibrium counterpart — using non-equilibrium statistical physics and simulation.
Approach & Methods
My work combines physics-based molecular simulation with modern data analysis. Typical tools and techniques include: