Jeremiah Fadugba is a Postdoctoral Research Fellow in AI for Low-Cost PET-MRI Imaging at the University of Cape Town, South Africa. He works across the Shocklab, picoPET, and SoLow research groups, advancing research at the intersection of artificial intelligence, image reconstruction, and multimodal neuroimaging. His current work focuses on developing scalable, low-cost PET-MRI solutions that improve diagnostic equity and expand access to advanced imaging in low-resource settings.

Prior to joining Shocklab, he worked as a Data Scientist at Silver Matter, where he developed AI-driven solutions for amyloid detection in neuroimaging. His broader research centers on building trustworthy AI systems, with particular emphasis on uncertainty quantification, generative modeling, and medical image segmentation. He holds a PhD from the University of Ibadan, completed in collaboration with the African Institute for Mathematical Sciences (AIMS), where he developed deep learning methods for the analysis of retinal diseases using color fundus photography.

Jeremiah has contributed to the AI Audit Project, an international initiative focused on evaluating the safety and fairness of AI systems in healthcare. He is also a co-organizer of Sisonke Biotik, a pan-African community connecting data scientists and healthcare professionals, and actively contributes to the organization of Deep Learning Indaba, Africa’s leading machine learning conference.