Assoc Prof. Daniel Ting, MD PhD

📅 01–03 November 2026 📍 Singapore

Assoc Prof Daniel Ting is a senior consultant vitreo-retinal surgeon working in the Singapore National Eye Center (SNEC), an Associate Professor with Duke-NUS Medical School and an Adjunct Clinical Associate Professor and an Innovation Mentor at Stanford University. He is also the Director of Singapore Health Service (SingHealth) AI Office, SNEC Chief Data and Digital Officer, and the Head of AI and Digital Innovation in Singapore Eye Research Institute (SERI). In 2017, Dr Ting was US-ASEAN Fulbright Scholar visiting the Johns Hopkins University Fulbright Scholar to share his expertise in AI and big data in medicine. In addition to that, his research focus span across not only on the technical aspect on machine learning, deep learning, large language models, explainable AI, privacy preserving technologies, but also safe, responsible and ethical clinical AI applications. He is also involved in several international consensus reporting guidelines such as STARD-AI, QUADAS-AI and DECIDE-AI. 

To date, Daniel has published >400 publications on peer reviewed, book chapters, educational articles and conference abstracts. Of those, 50 were published in high impact journals such as JAMA, NEJM, Lancet, Nature Medicine, Nature Biomedical Engineering, Lancet Digital Health, Progress in Retinal and Eye Research, Diabetes Care, Nature Digital Medicine, Ophthalmology and etc. His current H index: 77, i-10 index: 231 with total citations of >34,000 (Dec 2025). Dr Ting has received a total of 225M research grants, in which 40 M as a principal investigator, and 185M as co-investigators on AI and digital innovation related projects in health. Internationally, Dr Ting serves in several leadership positions at the different AI and eye societies, including the EQUATOR Network (STARD-AI, DECIDE-AI, QUADAS-AI, PROBAST-AI), American Academy of Ophthalmology AI and Retina Ophthalmology Technology Assessment committees, and he also chairs the AI and Digital Innovation Standing Committee for the Asia-Pacific Academy of Ophthalmology and Asia-Pacific Vitreo-Retinal Society.  

He serves in numerous advisory and editorial boards in the top-tiered digital and medical journals, including Lancet Digital Health (IF = 30.8), ranked 1st in digital medical journal), an Editorial Board Member in Ophthalmology (IF=13, ranked 1st in clinical ophthalmology journal) and others including Associate Editor for Frontiers in Medicine, Frontiers in Digital Health and Asia-Pacific Journal of Ophthalmology; Section Editor for British Journal of Ophthalmology and Editorial Board Members for Ophthalmology Retina, Ophthalmology Science and Retina. He is also the Macula and Retinal Society members. 

For the accomplishment, Dr Ting was recognized by many top-tiered international AI and ophthalmology societies in winning many prestigious scientific awards, including Jong Soy Leong Faculty Professorship in Duke-NUS university (2025), Rosario Brancato Award (2025), APAO Dennis Lam Award (2025), Senior clinician scientist award (2024), Tatler Asia Gen T Award (2021), Singapore National Clinician Scientist Award (2021), Asia-Pacific Academy Ophthalmology (APAO) Nakajima Award (2021), Asia-Pacific Vitreo-Retinal Society (APVRS) Ian Constable Award (2021), MICCAI OMIA Prestigious Achievement Award (2020), ARVO Bert Glaser Award for Innovative Research in Retina (2020), USA Macula Society Evangelos Gragoudas Award (2019), APAO Young Ophthalmologist’s Award (2018) and APTOS Young Innovator Award (2017).  

In 2024, he won the Young Scientist Award by president’s science and technology awards (PTSA) 2024, a recognition to under 40 that has contributed researcher and development in Singapore and demonstrate great potential to be world class researcher. He is included in the 2025 World’s Top 10 Ophthalmic Innovator List, Top 100 Ophthalmology Power list (2022 to 2025), World’s Top 2% Scientists by the Stanford University world ranking (2022 – present) and in 2025 he was ranked in the 2% worldwide in ophthalmology. He is also consistently ranked top 3 in the world for the deep learning research since 2021 (AI research publications and impact done over the past 10 years) till now by the Expertscape. In 2024, he is also ranked the top 100 AI power list together with Fei Fei Li, Yan LeCun, Jensen Huang and the others.