Daniel Ting Email & Phone Number

Dr Daniel Ting is the Consultant Vitreo-retinal surgeon in the Singapore National Eye Center, Associate Professor in Ophthalmology with Duke-NUS Medical School Singapore. He was the 2017-2018 US-ASEAN J. W. Fulbright Scholar to Johns Hopkins University, the founding member of the American Academy Ophthalmology (AAO) AI Taskforce committee. At present, he is the Associate Editor of Nature Digital Medicine, Section Editor in British Journal of Ophthalmology and Editor in Ophthalmology.To date, he has published >200 peer-reviewed papers/book chapters/conference abstracts, including >50 AI and digital technology articles in JAMA, NEJM, Nature Medicine, Nature Biomedical Engineering, Nature Digital Medicine, Lancet Digital Health, Progress in Retinal and Eye Research, Ophthalmology and etc. Apart from being the invited chair and moderator in many regional and international ophthalmology conferences, he was also invited as the guest speaker at many prestigious universities (e.g., Trinity College at Cambridge, Oxford University, Johns Hopkins University, Seoul National University, Taiwan National University and etc). He holds several patents in deep learning systems for medical imaging analysis, one of which has received approval from the Singapore Health Service Authority (HSA), and European CE Mark. Dr Ting has won many prestigious scientific awards, including the ARVO Bert Glaser Award for Innovative Research in Retina (2020), USA Macula Society Evangelos Gragoudas Award (2019), Asia-Pacific Academy of Ophthalmology (APAO) Young Ophthalmologist’s Award (2018), the Asia-Pacific Tele-Ophthalmology Society (APTOS) Young Innovator Award (2017), SingHealth Distinguished Young Researcher Award (2018), and Singapore General Hospital Young Investigator Award (2017). In December 2019, he was also rated as one of the 4 thought leaders by The Ophthalmologist, one of the top London-based eye magazines, in the deep learning fields for ophthalmology. His current research interest spans across AI, big data analytics, Internet of Things, Blockchain and AI chatbot using natural language processing and speech recognition.

Listed skills include Teaching, Medical Research, Clinical Research, Medicine, and 4 others.