Song-Quan Ong is a medical entomologist and computational ecologist at the Institute of Tropical Biology and Conservation (ITBC), Universiti Malaysia Sabah. His research focuses on the application of artificial intelligence and data analysis in the study of vector-borne diseases, with an emphasis on vector and disease surveillance, prediction and ecology. He holds a PhD in medical and veterinary entomology, a master's degree in molecular entomology and a second master's degree in data science and analytics. He was a postdoctoral researcher at Aarhus University, Denmark, where he further developed his expertise in computational ecology for rapid measurement of insect diversity using computer vision and deep learning. He is also a Civil Aviation Authority of Malaysia (CAAM) certified remote pilot (RCoC) with expertise in geospatial data and mapping. With his expertise in data science, entomology and as a licensed chemist, he integrates these disciplines to advance public health and biodiversity conservation.