I have broad training backgrounds in Geography (GIScience), Public Health (Epidemiology), Computer Science (Visual Analytics), and Network Science. I proposed a new research area: geo-social visual analytics, which aims to integrate spatial analysis, social network analysis, and machine learning into visual analytics environments. I have designed and developed a series of geovisual analytics tools and high performance computational models for infectious disease transmission and control (i.e., COVID-19, Dengue, influenza, HIV), international trade, social media, crime analysis, climate change impacts, and water crisis. Based on the geo-social interaction area (complex system), my research at NUS has two major application research focuses: infectious disease transmission and control (i.e., disease transmission networks) and international trade and supply chain (national or firm networks).