Research Overview

The PHYS-Bio Group is driven by curiosity and a deep interest in uncovering the fundamental physical principles that underlie life. Living systems operate far from equilibrium, continuously consuming energy to maintain order to perform work, which can defy the simpler, passive laws of traditional equilibrium physics. This complexity is further compounded by the need to understand phenomena spanning vast scales, from nanometer-scale molecular machines, to micron-scale genome organisation, to the large-scale collective behavior of cells, tissues, organisms, and populations.

Our research seeks to bridge these scales and uncover the unifying principles that govern the emergence of structure, function, and organisation in living matter. We approach these questions through a combination of analytical theory and computational modeling, and in close collaboration with experimental partners. Drawing upon the tools of statistical mechanics, nonlinear dynamics, and condensed matter physics, our goal is to build minimal yet predictive theoretical frameworks that capture the essential physics of living systems.

Research Areas

Genome Organisation

Understanding the physical principles governing chromatin organisation and dynamics, and the role of nuclear proteins using polymer physics and statistical mechanics approaches.

Intracellular Transport

Molecular motor driven cargo transport, trafficking dynamics and structure formation within cells, using stochastic models and nonequilibrium statistical physics.

Health and Disease

Population Health. Transmission modeling and statistical modeling of infectious and non-communicable diseases, to guide intervention analysis and health policy.

Non-equilibrium Physics

Exploring non-equilibrium phenomena and first passage problems, motivated by biological systems.

Polymer Physics

Physics of polymer systems. Charged polymers, polymer kinetics, phase separation.

Biological Physics

Bridging physics and biology through interdisciplinary approaches to understand complex biological phenomena.