A/Prof Daniel Ting

A/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, A/Prof Ting was US-ASEAN Fulbright Scholar, visiting Johns Hopkins University to share his expertise in AI and big data in medicine. In addition to that, his research focus spans not only on the technical aspect of 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, A/Prof Ting has published more than 250 peer-reviewed publications in high-impact journals, such as JAMA, NEJM, The Lancet, Nature Medicine, Nature Biomedical Engineering and Lancet Digital Health. In 2022 and 2023, he was included in the World's Top 100 Ophthalmologists Power list by the Ophthalmologists; and the World's Top 2% Scientists by the Stanford University world ranking. In 2021, he was ranked 1st globally in the deep learning over the past decade (2010 – 2021) and has since been consecutively ranked top 10 worldwide for AI, machine learning and deep learning in science, engineering and health to date.