Oriehi (Destiny) Anyaiwe, Ph.D., is an Associate Professor of Computer Science in the Department of Mathematics and Computer Science at Lawrence Technological University. He has extensive experience in designing and implementing evidence-based STEM interventions, including course-based research experiences and structured mentoring programs aimed at improving retention, academic self-efficacy, and workforce readiness among underrepresented and low-income students. He has been involved in academia since 2002, teaching courses in both mathematics and computer science across institutions in Nigeria and the United States. Dr. Anyaiwe has contributed to NSF-related proposal development and assessment planning, integrating storytelling, cohort-based mentoring, and experiential learning to strengthen student persistence in STEM fields

He has taught courses including Programming in C++, Data Science, Data Structures and Algorithms,Machine Learning and Pattern Recognition, Machine Learning and Microservices in the Cloud, Database Management Systems,  Software Engineering,  Principles of Bioinformatics, and Graph Theory and its Applications.

» Education

• Ph.D., Computer Science, Oakland University
• ABD, Applied Mathematics

» Research Interests

• Data science
• Machine learning
• Applications that improve quality of life and health
• Artificial Intelligence and Machine Learning for Healthcare
• Computational Modeling of Neurodegenerative Diseases
• Early Detection and Risk Stratification of Alzheimer’s Disease
• Time-Series Analysis of Biomedical Signals (e.g., CGM, Neural Data)
• Neuroinflammation and Biomarker Dynamics in Disease Progression
• Data-Driven Clinical Decision Support Systems

» Professional Experience

• Associate Professor, Lawrence Technological University
• Teaching experience in mathematics and computer science across institutions in Nigeria and the United States

» Publications & Research

• His research includes work in machine learning and computational modeling, with applications in areas such as health analytics and disease prediction.