Passionate about driving academic and research excellence at the intersection of computational biology, drug discovery, and traditional medicine. With a PhD in Bioinformatics and 15+ years of research, teaching, and student mentorship, I specialize in network pharmacology, molecular docking, proteomics, virtual screening, and natural product-based therapeutics.
My research integrates computational approaches with experimental validation, translating bioinformatics insights into actionable leads for new medicines. Major achievements include:
Discovery of natural TNF-α inhibitors from proprietary compound libraries using cutting-edge in silico screening and wet-lab techniques.
Mechanistic investigation of Boswellia serrata and Ayush-64 for anti-inflammatory therapy via systems biology and multi-omics.
Mapping phytochemical–target interactions for COVID-19 and chronic inflammation leveraging Ayurvedic medicine and bioinformatics.
I am published in high-impact, Q1 journals (Elsevier, Springer, ACS) and have led multi-disciplinary collaborations that connect computational biology with molecular medicine. As an educator, my experience spans mentoring MSc, MTech, and BTech students, delivering tailored bioinformatics training, and designing advanced curricula for drug design, molecular modeling, and ADMET analysis.
Core strengths include:
Bioinformatics, Molecular Docking, Network Pharmacology, Virtual Screening, Proteomics, Systems Biology, Natural Products, Ayurvedic Medicine, ADMET, Protein Modeling, Research Mentorship, Higher Education Teaching.
Dedicated to fostering innovation, building collaborative research networks, and empowering students to lead in computational and experimental sciences.