About me

Sigao Li is a spatial data enthusiast committed to transforming complex spatial data into actionable insights. Currently, he acts as a contributor to GISphere, actively involved in advancing GIS education and its practical applications worldwide. In parallel with his geospatial work, he is exploring the intersection of algorithmic modelling and Quantitative Finance.

Sigao holds an MSc in Business Analytics from the University of Bristol. Previously, he earned a Master’s degree in Spatial Analysis and a Bachelor’s degree in Geographic Analysis from Toronto Metropolitan University. His academic profile is further enhanced by specialized professional certifications in Data Science from the University of Waterloo and Artificial Intelligence from the University of Toronto.

His research interests span Optimization and Algorithms, Web Analytics, and Decision Making. He also specializes in Business and Retail Geography, as well as Health and Crime Analysis. By leveraging expertise in GIScience, machine learning, and space-time modelling, Sigao aims to uncover patterns within intricate social science problems to address real-world challenges.