Tayo Obafemi Ajayi

Dr. Tayo Obafemi Ajayi is an Associate Professor in the Department of Electrical and Computer Engineering at Missouri State University, where she holds the Mace/Turblex Professor of Engineering title. She also serves as an Adjunct Professor at Missouri University of Science and Technology and directs the Computational Learning Systems (CLS) Lab. As site coordinator for the Missouri Louis Stokes Alliance for Minority Participation (MoLSAMP), she champions diversity in STEM while leading committees in IEEE organizations like the Bioinformatics and Bioengineering Technical Committee and the Engineering in Medicine and Biology Society.

• Primary Affiliation: Missouri State University
• Secondary Affiliation: Missouri University of Science and Technology
• Labs: Computational Learning Systems Lab
• Leadership: IEEE Technical Committees, MoLSAMP

Her research focuses on Explainable Artificial Intelligence (XAI) for biomedical applications, integrating Data Mining, Machine Learning, and Bioinformatics to address complex health problems. Key projects include:

• Anemia prediction models for spinal surgery outcomes
• Alzheimer’s disease severity analysis
• Autism genotype-phenotype mapping
• Traumatic brain injury subgroup identification

Recent publications span IEEE Access, Frontiers in Human Neuroscience, and the Pacific Symposium on Biocomputing. Her work emphasizes model transparency, statistical rigor, and practical validation through biomedical case studies.

Scientific Awards

• Bear Bridge Outstanding Mentoring Award (2023)
• IEEE CIBCB Best Student Paper Award (2021)
• College of Natural and Applied Sciences Faculty Research Award (2019)

Dr. Ajayi's research combines Computational Learning with Clinical Applications, securing grants through collaborative projects with institutions like Missouri S&T and participation in national conferences. Her work has been cited over 560 times with an h-index of 14, reflecting sustained impact in AI-driven healthcare solutions.