Dr. Olanrewaju Durojaye
About me
Dr. Olanrewaju Ayodeji Durojaye is a computational drug discovery scientist whose work applies artificial intelligence and molecular modeling to cancer and infectious disease research. He has published extensively and received international recognition for his contributions to biomedical science.
Dr. Olanrewaju Ayodeji Durojaye is a computational drug discovery scientist with expertise in computer-aided and artificial intelligence-driven drug discovery. His research integrates molecular modeling, machine learning, structural biology, and bioinformatics to design and evaluate therapeutic agents for complex diseases, with particular emphasis on cancer, infectious diseases, and antimicrobial resistance.
Dr. Durojaye received his academic training in biochemistry and molecular biology, progressing from experimental life sciences into advanced computational and AI-enabled approaches for biomedical research. He earned his doctoral degree from the University of Science and Technology of China (USTC), where his research focused on structure-based discovery of chemical probes and molecular dynamics simulations. During his doctoral work, he contributed original discoveries to the field of cancer drug discovery, including the identification of novel small-molecule inhibitors targeting previously undruggable oncogenic mutations.
His research output includes multiple peer-reviewed publications in internationally recognized journals spanning drug discovery, molecular medicine, computational biology, and health informatics. In addition to his research activities, Dr. Durojaye actively contributes to the scientific community through peer review and editorial service for reputable international journals published by major academic publishers. He has been invited to serve as a reviewer and editorial contributor for journals across biomedical, computational, and materials science disciplines, demonstrating recognition of his expertise and judgment by independent editorial boards.
Dr. Durojaye is a member of several professional and scientific organizations, including internationally recognized societies and research networks, reflecting his engagement with the global scientific community. He is also committed to science communication and capacity building, having authored articles in major media outlets to promote evidence-based health research and the adoption of modern computational approaches in biomedical science.