Song-Quan Ong is a computational ecologist and entomologist specialising in the application of artificial intelligence (AI) and data science to vector-borne disease, urban pest management and biodiversity data systems. His work focuses on developing scalable, industry-relevant solutions using computer vision, bioacoustics, data analytics, and ecological modelling to improve vector/pest surveillance and biodiversity data management. He holds a PhD in medical and veterinary entomology, a master’s in molecular entomology, a master’s in data science and analytics, and is a licensed chemist. He is also a certified remote pilot (RCoC) with the Civil Aviation Authority of Malaysia (CAAM), with expertise in geospatial data, drone-based monitoring, and environmental mapping.
Born in Johor, where I also spent my childhood. I attended secondary school in Seremban, Negeri Sembilan, and completed my undergraduate and postgraduate studies in Penang. I started my career as an entomologist and chemist specialising in insect toxicology and semiochemical extraction. Currently, I am more focused on applying computer vision, data mining and machine learning to solve problems in public health, biomedicine, biodiversity conservation and ecology.