The director of AI Office in Singhealth, 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 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, he was a US-ASEAN Fulbright Scholar at Johns Hopkins University. His research focus spans across machine learning, deep learning, large language models, explainable AI, privacy preserving technologies, and 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, Assoc Prof Daniel has published >250 publications on peer reviewed, book chapters, educational articles and conference abstracts. He has received a total of S$100M research grants, in which S$20M as a principal investigator, and S$80M as co-investigators on AI and digital innovation related projects in health. 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.