𧬠Background in molecular biology, biochemistry, immunology & structural bioinformatics
π» Specialize in computational biology research & Engineering β image segmentation/diffusion/classification, graph neural networks for small molecules, transformer based architectures
π Interested in translational medicine, bridging research and patient impact
- Programming: Python, Java, C++, R
- Libraries: PyTorch,Tensorflo, DGL/Pytorch-Geometric, Scikit-learn, Seaborn, Matplotlib
- Bioinformatics & Biochem Tools: RDKit, Rosetta, Protein MPNN, AlphaFold, RFDiffusion, STRING-db, ScanPy
- Research Skills: Wet-lab (PCR, gel electrophoresis, cell culturing), computational proteomics, statistical analysis
- Languages: English, Hindi, Telugu, French
Note a majority of my projects are currently private, only a sparse set of group in-person projects have been highlighted.
β¨ Exploring the frontier where biology meets computation. β¨