Edidiong Akpan

Edidiong is a Ph.D. student in Computer Science at the University of Louisiana at Lafayette, with academic training spanning Biochemistry, Information Technology, and Computer Science. His research lies at the intersection of artificial intelligence, data science, and health informatics, with a focus on developing trustworthy machine learning solutions for healthcare. At the MedAI Lab, he works on multimodal deep learning models that improve glaucoma screening by enabling robust knowledge transfer across diverse clinical settings, with an emphasis on fairness, reliability, and deployment in resource-limited and community-based screening environments.

Edidiong applies data science, artificial intelligence, and analytics to transform complex health data into actionable insights that support research, improve healthcare delivery, and advance community health. His work focuses on identifying patterns and risk factors associated with diseases, informing evidence-based interventions, and contributing to innovative, data-driven solutions that promote health equity and improve health outcomes across.