Staff profile

Farhad Abedinzadeh is a PhD researcher in Bioengineering at Durham University, working at the intersection of artificial intelligence (AI), medical imaging, and ophthalmology. His current research focuses on developing interpretable AI methods to analyze retinal imaging and ocular biometric data, aiming to improve early prediction of childhood myopia.

His broader research interests include medical imaging and signal processing, multimodal learning, explainable AI, retinal imaging including optical coherence tomography (OCT) and OCT angiography, and longitudinal biomedical data analysis.

Before joining Durham University, he earned an MSc in Biomedical Engineering. His research focused on neurodevelopmental and neurodegenerative disorders, where he utilized AI models to create prototype computer-aided diagnosis systems. His research interests are centered on developing clinically meaningful AI methods that enhance the understanding, prediction, and assessment of human health.