Our research group uses computational methods to provide molecular-level understanding of diverse range of biological and material systems, with the aim of discovering new phenomena and developing new materials and technologies. The methods we use or develop are largely based on statistical mechanics, molecular modeling and simulations, stochastic dynamics, coarse-graining, bioinformatics, machine learning, and polymer/colloidal physics. Our current research interests fall within four main themes: (i) genome organization and regulation, (ii) polymer-nanoparticle composites, (iii) viral DNA packaging, and (iv) DNA nanotechnology. Please visit the research links for more details about each of these topics.
We are a highly collaborative and multidisciplinary group of computational scientists who work closely with experimentalists to ensure that we work on technologically relevant problems and make experimentally testable predictions. We are also a highly diverse, inclusive, and supportive team of students and postdocs who firmly believe that diversity in cultural backgrounds, expertise, talents, and perspectives is critical to fostering creativity, critical thinking, and innovation. If you would like to know more about our research group or would like to join us, please do not hesitate to email any one of us, or our captain, Prof. Arya.