Professor Rachel Y.Y. Leung
梁雅媛教授

Professor Rachel Leung joined the Department of Ophthalmology as a Clinical Assistant Professor in July 2024. After completing her medical training in Hong Kong, she received the Rhodes Scholarship to pursue a DPhil in Clinical Neurosciences at the University of Oxford under the supervision of Professor Peter Rothwell and Mr Dominic PJ Howard.

Her clinical and research interests span ophthalmology, clinical neuroscience, and the development and translation of innovative technologies to improve the diagnosis, risk prediction, and management of common eye diseases and systemic conditions. She is particularly interested in data-driven, multimodal approaches that connect ocular imaging, neuroscience, multi-omics, and real-world clinical care.
 

梁雅媛教授於2024年7月加入眼科學系並擔任臨床助理教授。在香港完成醫學培訓後，她獲頒發羅德獎學金，在Professor Peter Rothwell 和 Mr Dominic PJ Howard的指導下，於牛津大學攻讀臨床神經科學博士學位。她的臨床及研究興趣涵蓋眼科、臨床神經科學，以及研發和轉化創新技術，以提升常見眼疾的診斷、風險預測及治療管理。她特別關注以數據為本的多模態研究，連結眼部影像、神經科學、基因組學及臨床實踐 。

​

Key office 主要辦事處

Steering Committee, Clinical Neuroscience Consortium

Advisory Council, European Stroke Organisation

​

Research 研究

Professor Leung’s research is centred on the interface between ophthalmology, neuroscience, and clinical translation. She is especially interested in glaucoma and retinal diseases, as well as broader questions in neurodegeneration and ageing. She is interested in leveraging retinal imaging, multi-omics, and machine learning to improve early detection, prognosis, and personalised care for common eye diseases and wider neurological and vascular disease. She also has a strong interest in the responsible development and evaluation of health technologies, including AI-assisted clinical tools and imaging analytics. Her research activity includes clinical studies, data-driven ophthalmic research, and collaborative work that bridges patient care, biomedical discovery, and technology translation.

Her research has been published in journals across ophthalmology, neurology, and epidemiology, and has been presented at major international scientific meetings. She collaborates with investigators from Hong Kong, the United Kingdom, Europe, and North America on projects involving retinal and neuroimaging, multi-omics, and data science.

In addition to her academic research, Professor Leung served as a contributing physician to the physician evaluation and benchmarking process for HealthBench, a large-scale healthcare artificial intelligence evaluation initiative led by OpenAI in 2025.

​

梁雅媛教授的研究聚焦於眼科、神經科學與臨床轉化之間的交匯。她的研究結合縱向隊列數據、眼科影像、遺傳學、蛋白組學、腦部掃描，用以探討疾病機制、風險預測及早期偵測策略。她特別關注青光眼及視網膜疾病，並延伸至神經退化及老化等更廣泛課題。她的研究亦包括開發及評估人工智能臨床工具，以提升眼科及相關範疇的分流及診斷。

梁教授的研究成果已發表於眼科學、神經科學及流行病學相關的國際期刊，並於多個國際學術會議發表。她與來自香港、英國、歐洲及北美洲的研究團隊合作，推動視網膜及腦部影像及健康數據科學等領域的研究發展。

此外，梁教授曾參與OpenAI於2025年推出的HealthBench醫療人工智能評估計劃，擔任醫生顧問及評核貢獻者。

​

​

Clinical Services and Teaching 臨床服務與教學

Professor Leung provides ophthalmology services at Queen Mary Hospital and Grantham Hospital. She has also volunteered with the Orbis Flying Eye Hospital in Rwanda, supporting the training of local ophthalmologists and capacity building in eye care.

She is committed to teaching and mentorship, and welcomes postgraduate students and research trainees. Her current projects are available on the Faculty of Medicine postgraduate projects page. She also serves as a reviewer for several journals, and volunteers as a grant reviewer for The Glaucoma Foundation.

​

梁教授於瑪麗醫院及葛量洪醫院眼科部提供臨床服務。她亦曾參與 Orbis 飛行眼科醫院在盧旺達的義工服務，協助培訓當地眼科醫生，並支持眼科服務能力建設。

她重視教學及指導，歡迎研究生及研究培訓學員加入。她目前開放的研究項目可於醫學院研究生項目頁面查閱 。此外，她亦擔任多份學術期刊的審稿人，並以義工身份為 The Glaucoma Foundation 擔任研究基金審閱員。

​

Selected Research Projects 精選研究項目

• Development and translation of AI-enabled tools for ophthalmic diagnosis, risk prediction, and clinical decision support.

• Retinal imaging biomarkers for glaucoma and other common eye diseases and systemic conditions.

• Multi-omics approaches to understand neurodegeneration and ageing.

• Real-world evidence: leveraging large-scale clinical datasets to improve quality of care and patient outcomes.
   

• 開發及評估人工智能方法，用於眼科風險分層及臨床決策支援。

• 研究青光眼及其他常見眼疾的視網膜影像生物標記。

• 結合多組學與影像資料，預測視網膜變薄及神經退化風險。

• 真實世界證據：利用大型臨床數據集，以提升醫療服務質素及改善病人治療成效。

​