Computational Science and Engineering Division
Our research is in the interdisciplinary areas of big data analytics, molecular biophysics and public health dynamics. My research deals with the development of data-analytic tools to understand the molecular basis of life. We develop statistical inference and machine learning tools to: (1) analyze extremely large-scale data-sets from atomistic bio-molecular simulations, (2) extract multi-scale properties from these simulations and (3) elucidate the mechanistic aspects of how these multi-scale features relate to the function of bio-molecules in the context of molecular recognition, enzyme catalysis and bio-molecular folding.
Recent list of papers and ongoing research can be obtained from: Arvind Ramanathan Google Scholar