Fred N. Kiwanuka is an experienced academic and researcher with over a decade of work in teaching, research, and academic leadership. He holds a Ph.D. in Computer Science from the University of Groningen in the Netherlands, where he specialized in 3D medical image processing and analysis. He also earned a Master’s degree in Data Science from the University of Michigan and a Master’s in Communication Networks from London Metropolitan University.

Fred’s research interests span data science, image processing, and blockchain, with over 20 publications that reflect his ongoing curiosity and commitment to addressing real-world challenges through applied research.

He currently serves as Lead Data Scientist at the Western Michigan Partnership for Children and as an Associate Professor at the University of Maryland Global Campus. In these roles, he supports inclusive, outcomes-oriented learning and uses data to drive insights in child welfare and beyond. His previous roles include Research Data Scientist at UNICEF and Assistant Professor of Computing Science at the Higher Colleges of Technology in Dubai.

Fred’s research agenda emphasizes mathematically grounded approaches to machine learning and deep learning, with applications in medical imaging, natural language processing, data for social impact, and satellite imagery. He has received several competitive research grants, including awards for AI-driven financial strategies and malaria diagnostics. His current work explores connected operators for image segmentation, data-for-good initiatives, and scalable platforms for big data analytics.

Having lived in six cities across four continents, Fred brings a global perspective to both his academic and applied work. You can connect with him on Twitter, Medium, LinkedIn, or by email.