I am Johnson Joseph, a graduate with a master’s degree in pharmacy, where I focused on medicinal chemistry and pharmacy informatics. My passion lies in exploring the intersection of pharmaceuticals and technology to advance the drug discovery process. My research interests are centered around Computer-Aided Drug Discovery (CADD), where I leverage computational tools to streamline the identification and development of new therapeutic compounds. I have a keen interest in Pharmacophore Modeling and understanding how drugs interact with biological targets through Pharmacokinetics and Pharmacodynamics (PK/PD) studies. Additionally, I am focused on ADMET Prediction, which helps in assessing the safety and efficacy profiles of drug candidates early in development. I am also deeply fascinated by the potential of Machine Learning and Artificial Intelligence in revolutionizing the pharmaceutical industry. Through these technologies, I aim to optimize drug screening and improve decision-making processes in drug design and development. I see my work as a way to contribute to the future of personalized medicine, with a focus on enhancing the speed and accuracy of drug discovery, ultimately improving patient outcomes.