معرفی
Siegfried Wagner is an Honorary Clinical Senior Research Fellow at the University College London's Institute of Ophthalmology, affiliated with the NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL. He holds roles such as MRC Clinical Research Training Fellow and NIHR Academic Clinical Fellow, with appointments spanning from 2020 to 2100. His education includes a PhD in Ophthalmology (UCL, 2023), MSc in Epidemiology (London School of Hygiene and Tropical Medicine, 2022), and earlier degrees from the University of Oxford (BM BCh in Clinical Medicine, 2012; BA in Medical Sciences, 2009).
His research focuses on Ophthalmology and Optometry, Clinical Sciences, Immunology, Biomedical Engineering, and Health Services and Systems. Key interests include leveraging AI for retinal imaging diagnostics, linking ocular biomarkers to systemic diseases like cardiovascular disorders and neurodegenerative conditions, and developing open-source tools like AutoMorph and RETIMAT. He explores topics such as retinal vascular morphology, synthetic data privacy in medical research, and the role of retinal imaging in predicting conditions like dementia and Parkinson’s disease.
Wagner’s scientific awards include Fellowships from the European Board of Ophthalmology (FEBO), Membership from the Royal College of Physicians (MRCP), and Fellowship from the Royal College of Ophthalmologists (FRCOphth). His work emphasizes ethical AI deployment in healthcare, as seen in initiatives like CARE-AI, and addresses barriers in telemedicine adoption through studies on patient demographics and non-attendance factors.
His grants include MRC and NIHR funding for clinical research training. While no formal advisees are listed, he collaborates extensively in interdisciplinary teams. He leads projects integrating multimodal imaging with genetic and clinical data, such as Eye2Gene and SynthEye, to advance gene diagnosis and synthetic data applications in inherited retinal diseases.
Labs and teams: Core contributor to the AlzEye study, which links ophthalmic imaging to neurodegenerative diseases. Active in developing AutoMorph, an AI-driven pipeline for retinal vessel analysis, and RETIMAT, an open-source OCT analysis software. Collaborates with global institutions via the Collaboration Network X (Twitter).
