The research in the Computational Soft Matter Group revolves around using the tools rooted in thermodynamics and statistical physics to understand phase transitions in nature. We apply these techniques to a wide range of systems, including ice formation in the atmosphere, hydrate nucleation, protein aggregation and colloidal crystallization. Here are some active projects that we are pursuing at the moment.