Welcome to my website!
Hi đź‘‹, I am a third-year Ph.D. student in the Department of Computer Science at Virginia Tech. Before that, I completed my B.Sc. and M.Sc. in Computer Science and Engineering from BUET. My research interest primarily encompasses the intersection of structural bioinformatics and machine learning.
I aim to develop my career in the understanding of complex macromolecules, specifically RNA, and its intricate relationship with proteins which gives rise to an array of complex structures. My current research focuses on the accurate quality assessment, refinement, and prediction of monomer RNA 3D structures with the application of machine learning algorithms such as graph neural networks (GNN), attention-based transformers, etc. I am also interested in long read based genome sequencing and its accurate application in filling large chromosomal gaps.
Recent News
| July 2024: | Presented our work lociPARSE as a poster with a flash talk in the iRNA track at ISMB 2024. |
| July 2024: | Published my first paper as a PhD student! Title: "The landscape of RNA 3D structure modeling with transformer networks”. Available here. |
| Jan 2024: | Our paper titled: "EquiPNAS: improved protein-nucleic acid binding site prediction using protein-language-model-informed equivariant deep graph neural networks" is accepted in NAR. |
| Nov 2023: | Our recent paper titled: "lociPARSE: a locality-aware invariant point attention model for scoring RNA 3D structures" is available in bioRxiv. |
| Aug 2022: | Excited to join Bhattacharya Lab to start my PhD journey! |