Ningbo Jiang holds a PhD in Environmental Science (air quality/climate variability), a master’s degree in Applied Statistics, and master’s and bachelor’s degrees in Atmospheric Science (atmospheric dynamics, meteorology). He previously worked for several organizations, including Sun Yat-sen University, The University of Auckland, National Institute of Water and Atmospheric Research Ltd (NIWA), Macquarie University, City University of Hong Kong, and a few New South Wales (NSW) government agencies. He is currently a principal scientist (atmospheric research) at the NSW Department of Climate Change, Energy, the Environment and Water (DCCEEW). Ningbo promotes an integrated approach to scientific research and resource management. His areas of interest include atmospheric pollution, climate variability and change, pattern recognition, data summarisation and visualisation, statistical modelling, AI and machine learning, and system design and forecast. His current research is focused on air quality forecast; machine learning application; model evaluation; and processes influencing regional climate, air quality, and the occurrence of vegetation fires.