Our research group is dedicated to advancing the development of multiscale computer simulation techniques, integrating principles of statistical physics with machine learning algorithms to explore and unravel the complexities of biological systems. Our key areas of focus include:

- Protein-Nucleic Acid Interactions: Investigating the intricate dynamics and molecular mechanisms that govern how proteins interact with DNA in particular.

- Hierarchical Genome Organization and Its Functional Implications: Exploring how the three-dimensional organization of the genome influences cellular functions and gene regulation.

- Dynamics and Emergent Behaviour of Active Matter: Studying the collective dynamics and self-organization of systems composed of active particles, with a particular emphasis on understanding the emergent properties of these systems.