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Arvind Ramanathan

Computational Science and Engineering Division

Biography

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


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