Journal of Analytical Chemistry

Affiliation: Chemistry, National Institute of Technology Andhra Pradesh, Tadepalligudem

Punam Salaria received her Ph.D. in Chemistry from the National Institute of Technology (NIT) Andhra Pradesh, India in 2025. Her doctoral research focused on Molecular biology, computational drug discovery, employing molecular dynamic (MD) simulation, machine learning (ML) approaches, and bioinformatics to identify and characterize bioactive compounds targeting neurological diseases. Dr. Salaria’s current research interest lies at the intersection of artificial intelligence and material science, with particular emphasis on developing AI/ML-guided screening platforms for bioactive compounds and nitrogen reduction reaction (NRR) active materials. Her interdisciplinary work approach integrates quantum/molecular mechanics, and atomistic simulations to accelerate the discovery of functional materials for biomedical and energy applications. She has published several peer-reviewed articles in reputed journals including Chemistry & Biodiversity, Molecular Diversity, and Journal of Molecular Modeling, demonstrated expertise in computational chemistry, molecular biology, and data-driven materials design.