Mohammad Abuzar — AI Researcher

My name is Mohammad Abuzar Shaikh Umer. I am a researcher, writer, and educator in the field of pharmaceutical sciences, with a growing focus on the intersection of artificial intelligence and modern drug discovery. I currently serve as an Assistant Professor at AIKTC School of Pharmacy in Navi Mumbai, where I mentor undergraduate students and design AI-integrated learning modules to strengthen research literacy and digital competence in pharmaceutical education. My academic path began with a Bachelor’s and Master’s degree in Pharmacy, specializing in Pharmaceutical Quality Assurance. Along the way, I developed a keen interest in computational drug discovery and data-driven healthcare solutions. Before entering academia, I worked in Clinical Trial R&D Analytics at Mu Sigma, where I contributed to predictive modeling and regulatory strategy for global healthcare clients. I have authored and co-authored several scientific works, including a Springer Nature book chapter on systems biology and review articles in journals such as the Journal of Alzheimer’s Disease and the Journal of Immunopharmacology. My publications reflect an ongoing interest in biomarker discovery, protein therapeutics, and the application of AI in pharmaceutical research. Beyond writing and research, I actively conduct workshops and sessions on AI literacy for faculty and students, helping institutions adapt to the evolving digital landscape in science and education. I view writing not only as a tool for communication but as a discipline that sharpens scientific reasoning and creativity. At a time when artificial intelligence is reshaping the research ecosystem, I remain committed to helping the next generation of scientists think critically, write clearly, and innovate responsibly.

Stackforce AI infers this person is a Healthcare and Pharmaceutical Sciences expert with a strong focus on AI integration.

Location: Mumbai, Maharashtra, India

Experience: 1 yr 3 mos