Debsindhu Bhowmik is a computational scientist with 15 years of experience at the intersection of AI, high-performance simulation, and experimental scattering techniques, currently based at Oak Ridge National Laboratory. He applies deep learning, generative models, and HPC-accelerated multi-scale simulations to unravel biomolecular conformational dynamics and design custom molecules for drug discovery and soft-matter applications. His work uniquely couples neutron/X-ray scattering experiments with AI-driven modeling to reveal hidden biophysical features that reduce reliance on costly experiments or simulations. A prolific researcher with over 50 publications, DOE-funded projects, and recognition including a Gordon Bell nomination and DOE highlights, he also mentors students and serves on editorial boards. Trained in physics with a PhD from Pierre and Marie Curie University, he blends fundamental physics intuition with practical AI tooling to tackle real-world biomedical and materials problems.
9 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Physics, Master of Science - MS, Physics at Jadavpur University
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Pierre and Marie Curie University
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