Debswapna Bhattacharya

Main Research Directions

Computational Biology. We are interested in computational structural bioinformatics. We employ computation to elucidate complex relationships between macromolecular sequences, structures, functions, interactions, and pathways. Long-term goal of our research is to obtain comprehensive understanding of how molecular sequences encode structures and how structures govern important biological functions and their mutual interactions. Currently, we are developing computational methods for protein structure prediction and refinement.

Machine Learning. We are interested in supervised, unsupervised, and semi-supervised learning and developing generative vs. discriminative models. Our long-term goal is to apply learning algorithms to autonomously construct biologically relevant conformations of macromolecules. Currently, we are developing deep learning methods for protein scoring and sampling.