I applied state-of-art AI, and Urban Big Data (eye-level images, 3D city models) to measure the urban environment and examine how it shapes human health outcomes, behaviors, and wellbeing. I developed models for measuring street greenery, tree structure and diversity, pedestrian activity, and visual and dynamic nature exposure, generating scientific evidence to inform healthier, greener, and more livable urban planning and policy. I have published papers in top journals in the relevant fields and many of them are highly cited. I also served as reviewers for top journals. As principal investigator, I have secured several external funds from multiple agencies such as Hong Kong Science and Technology Park and Innovation and Technology Bureau (Hong Kong).