Dr Victor W. Chu is a data science researcher specialising in agricultural AI, explainable AI (XAI), remote sensing, climate and extreme weather modelling, carbon and emissions modelling, and AI ethics. He currently leads the A-Theme at the Data Science Institute, covering livestock, horticulture and environmental modelling. His work sits at the intersection of machine learning, spatio-temporal analytics, environmental modelling and responsible AI, contributing to national priorities in digital agrifood innovation and climate resilience. Previously, he was a Senior Research Engineer (programme management) at the Smart National Research Centre of the Nanyang Technological University (NTU) in Singapore. His duty was to design and deliver data science solutions for government agencies, fulfilling their stringent requirements, e.g., explainability, data security, project governance and standards etc. Prior to venturing abroad, Victor was employed by the CSIRO where he completed an infrastructure failure prediction improvement project by transfer learning techniques.