Dr. Idowu is an assistant professor and a renowned virologist and computational biologist with expertise in computational drug discovery and grant writing. His research integrates cutting-edge computational techniques, including artificial intelligence (AI) and machine learning, to tackle significant challenges in biomedical sciences and healthcare innovation. Specializing in molecular biology, his work spans viral infections, cancer therapy, drug discovery, and maternal health.

Dr. Idowu employs molecular dynamics simulations and structural bioinformatics to explore interactions between viral proteins, such as SARS-CoV-2 proteins, and human pro-viral factors, providing valuable insights into viral mechanisms and identifying potential therapeutic targets. In oncology, he uses machine learning to discover biomarkers and optimize drug combinations, paving the way for advancements in precision medicine. His expertise extends to AI-driven methods such as virtual screening, molecular docking, dynamic simulations, and deep learning, enhancing drug discovery and elucidating molecular mechanisms.

A seasoned grant writer and dedicated mentor, Dr. Idowu actively supports career development and education, equipping the next generation of scientists with hands-on expertise in AI, data science, and biomedical informatics while fostering interdisciplinary innovation.