What I Offer: Drug Discovery & Molecular Modeling Molecular docking and virtual screening pipelines Protein-ligand binding affinity predictions MD simulations (GROMACS, Amber, Desmond) Structure-based drug design workflows Genomics & Data Analysis Variant calling and annotation (WES/NGS data) Spatial transcriptomics analysis Biomedical text mining with BioBERT Custom bioinformatics pipeline development Programming & ML Applications Python-based tool development (Biopython, pandas, scikit-learn) Knowledge graph engineering for multi-omics data Protein structure prediction and validation Database management and integration Who I Help: Students navigating bioinformatics/computational biology projects Researchers needing computational support for drug discovery Teams requiring custom pipeline development Anyone exploring careers in bioinformatics and AI-ML in life sciences With hands-on experience in leading 500+ protein-ligand simulations, building production-grade NER systems, and publishing in peer-reviewed journals, I bring both theoretical knowledge and practical expertise to help you achieve your research goals. Let's collaborate on your next breakthrough!