Welcome!
Hi đź‘‹, I am a third-year CS Ph.D. student at Virginia Tech specializing in the intersection of structural bioinformatics and deep learning. Working with Professor Debswapna Bhattacharya, I study RNA and protein-RNA interactions to develop computational methods for the 3D structure prediction, refinement, and quality assessment of these complex macromolecules by exploring deep learning architectures such as GNNs, transformers, and generative models.
Beyond structural bioinformatics, I am also interested in short/long read based computational methods and their application in genome assembly. Prior to starting my PhD, I completed my B.Sc. and M.Sc. in CSE from BUET.
Recent News
| Jan 2025: | Our recent RNA 3D structure generation method: "RNAbpFlow" is available in bioRxiv! |
| Jan 2025: | Sub-reviewer at ISMB/ECCB 2025. |
| Dec 2024: | Secured 11th position in recent competitive CASP16, hard done by stereo checks.. |
| Nov 2024: | lociPARSE is now published in JCIM! Available here. |
| Oct 2024: | Reviewer at IEEE/ACM Transactions on Computational Biology and Bioinformatics. |
| Sep 2024: | Sub-reviewer at IEE BIBM 2024. |
| July 2024: | Presented our work lociPARSE as a poster with a flash talk in the iRNA track at ISMB 2024. |
| July 2024: | Sub-reviewer at IEE BIBM 2024. |
| July 2024: | Published my first paper as a PhD student! Title: "The landscape of RNA 3D structure modeling with transformer networks”. Available here. |
| June 2024: | Sub-reviewer at BIOKDD 2024. |
| 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! |