Presenter

Profile: Dr. Debsindhu Bhowmik is a computational Scientist in Biomedical Sciences, Engineering, and Computing (BSEC) group of Computational Sciences and Engineering Division (CSED) and Health Data Sciences Institute (HDI) at the Oak Ridge National laboratory (ORNL). He holds B.Sc. & M.Sc. in Physics from Jadavpur University, India and a Ph.D. from Université Pierre et Marie Curie (UPMC), France with highest remarks for his doctoral work. He received the prestigious CFR (Contrat de formation par la recherche) Fellowship to pursue his doctoral work from CEA (Alternative Energies and Atomic Energy Commission), France. Upon finishing his Ph.D. he joined as Postdoctoral Research Fellow at the Donostia International Physics Center, Spain and later at the Wayne State University, USA.

Research brief: His current work lies on the interface of implementing Deep Learning (DL) techniques, running Molecular Dynamics (MD) simulations and performing scattering experiments (especially neutron and X-Ray) for problems related to Biomedical and biological sciences. The broader goal is to find how the DL techniques can be optimally applied to the MD simulation coupled with scattering experiments to understand the underneath physics of bio(macro)molecular function, activity, folding, microscopic structure and dynamic behavior at different length and time scale. Additionally he is trying to develop tools to study large-scale datasets by learning the inherent hidden features of biomolecules in order to reduce the need for running expensive computation or experiments. He has authored 40 papers including peer-reviewed journal publications, conference proceedings and extended abstracts. His works have been highlighted in popular Science magazines and also featured in the US Department of Energy (DOE) Office of Science (SC).

More information: could be found at https://debsindhu.github.io/.