Sodiq Adewole

Sodiq Adewole is a Lecturer at the School of Data Science, University of Virginia. His research focuses on healthcare AI applications, particularly developing machine learning solutions for medical image analysis and video capsule endoscopy.

Dr. Adewole's work bridges artificial intelligence and clinical medicine, specializing in few-shot lesion recognition, abnormality localization in endoscopic videos, and synthetic healthcare data generation. Recent publications demonstrate innovative approaches using graph convolutional networks, metric learning, and Bayesian methods to address challenges in gastrointestinal diagnostics.

His research output shows consistent focus on medical video analysis, particularly capsule endoscopy interpretation. Key technical contributions include weakly supervised localization techniques, temporal segmentation methods, and few-shot learning frameworks adapted for medical imaging.

No specific advising relationships, awards, or laboratory affiliations are detailed in available materials.