Campus
- Downtown Toronto (St. George)
Cross-Appointments
Areas of Interest
- Disease Modeling
- Mathematical Biology
- Artificial Intelligence
- Data Analytics
Biography
Professor Kong is the Director of the Artificial Intelligence and Mathematical Modeling lab (AIMMlab), University of Toronto. Additionally, he is the Director of the Africa-Canada Artificial Intelligence and Data Innovation Consortium and the Global South Artificial Intelligence for Pandemic and Epidemic Preparedness and Response Network. He is also the Regional Node Liaison to the steering committee of the Canadian Black Scientist Network. He obtained his Ph.D. in Mathematics with a certificate in AI from the University of Alberta, his MSc in Engineering Mathematics from the University of Hamburg, Germany, and the University of L'Aquila, Italy. His B.Sc. in Computer Science and Mathematics was acquired at the University of Buea, Cameroon, and his B.Ed. in Mathematics was earned at University of Yaounde I, Cameroon. He did a 2-years of postdoc at Princeton University. Dr. Kong is an expert in AI, data science, mathematical modeling, and mathematics education. His principal research program focuses on developing and deploying innovative AI, data science, and mathematical methodologies and technologies to resolve complex issues arising from 'real-world' applications in epidemiology, ecology, and data processing.
Current Projects
- Disease Modeling
- Ecological dynamics in aquatic systems
- Oil sands greenhouse gas emission
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