Shahin Sayed’s global health focus centers on training and capacity strengthening pathologists and researchers across sub-Saharan Africa and building sustainable research infrastructure in low- and middle-income countries. His work includes developing Kenya’s first clinically annotated cancer biorepository to support high-quality translational research, biomarker validation, and AI-enabled computational pathology. His interests in global health equity align with the Center’s themes of empowering women, strengthening systems for health and developing technical solutions. Sayed’s research includes validating AI and machine learning approaches for colorectal cancer diagnosis and prognostication in low-resource settings, leading biomarker development within longitudinal health and aging research infrastructure in Kenya, and advancing methods to correct pre-analytic variation and image-domain artifacts in digital pathology workflows to reduce unintended bias and improve algorithm performance.