Bioinformatics & Network Pharmacology Expert | 15+ Years in Molecular Docking, Drug Discovery, Proteomics | Advancing Natural Product & Ayurvedic Research | Empowering Students & Innovation

I am a computational biologist and drug discovery researcher driven by a deep commitment to advancing academic and translational research at the intersection of bioinformatics, systems biology, and traditional medicine. With a Ph.D. in Bioinformatics and over 15 years of experience spanning research, teaching, and student mentorship, my work bridges computational innovation with experimental validation to accelerate the discovery of novel therapeutics. My scientific journey has centered on leveraging bioinformatics and in silico methodologies to decode complex biological systems and transform them into actionable drug discovery insights. I specialize in network pharmacology, molecular docking, proteomics, virtual screening, protein modeling, ADMET profiling, and natural product-based therapeutics. My research philosophy integrates systems-level understanding with practical translational outcomes. A major highlight of my work includes the discovery of natural TNF-α inhibitors from proprietary compound libraries using advanced virtual screening pipelines followed by wet-lab validation. I have also conducted mechanistic investigations of Boswellia serrata and the Ayurvedic formulation Ayush-64 for anti-inflammatory therapy using multi-omics integration and systems biology approaches. Additionally, I have mapped phytochemical–target interaction networks relevant to COVID-19 and chronic inflammatory disorders, demonstrating how traditional medicine can be systematically decoded through computational biology. I have published in high-impact Q1 journals from leading publishers including Elsevier, Springer, and ACS, and have led multidisciplinary collaborations connecting computational modeling with molecular medicine and experimental pharmacology. My work consistently emphasizes reproducibility, methodological rigor, and translational relevance. Beyond research, I am deeply invested in education and mentorship. I have guided MSc, MTech, and BTech students, delivered specialized bioinformatics training programs, and designed advanced curricula covering computational drug design, molecular modeling, systems pharmacology, and ADMET analysis. I am passionate about empowering the next generation of scientists to integrate computational and experimental approaches in meaningful ways. My core strengths include bioinformatics, molecular docking, network pharmacology, virtual screening, proteomics, systems biology, natural product research, Ayurvedic medicine analytics, protein modeling, and higher education leadership. I remain committed to fostering innovation, building collaborative research ecosystems, and contributing to the global advancement of computational and translational biomedical sciences.

Work Terms

Hours of Operation Monday to Saturday: 9:30 AM –6:00 PM (IST) Flexible availability for international clients across time zones Urgent or milestone-based projects can be accommodated with prior discussion Payment Terms Hourly or fixed-price contracts accepted For fixed projects: 30–50% advance payment (depending on project scope) Remaining payment upon milestone completion or final delivery For long-term or research collaborations: milestone-based payment structure preferred Payments processed through the platform (Guru/Upwork) or mutually agreed secure channels. Preferred Communication Primary: Email and platform messaging (Guru/Upwork) Virtual meetings: Zoom / Google Meet / Microsoft Teams (scheduled in advance) Project tracking: Shared documents (Google Drive), GitHub repositories (if coding involved), or structured milestone updates Regular progress reports provided weekly or as agreed. Project Workflow Initial consultation and scope discussion Proposal with clear deliverables and timeline Milestone-based execution Review and feedback incorporation Final delivery with complete documentation