Yong Gao

Yong Gao is a Professor of Computer Science, Data Science, and Mathematics at the University of British Columbia (UBC) Okanagan, affiliated with the Irving K. Barber Faculty of Science. He holds a PhD from the University of Alberta and leads research in algorithmic and computational problems in artificial intelligence, network science, and computational biology. His work emphasizes graph theory, probabilistic methods, and applications in social media and biological systems.

Educational Background:

• PhD in Computer Science, University of Alberta

Research Interests:

• Algorithmic foundations of AI and network science
• Graph-based methods for computational biology and social media analysis
• Probabilistic modeling of complex systems

Awards & Grants:

• Recipient of multiple NSERC Discovery Grants (2006–2019)
• UBC Okanagan Startup Grant (2005–2008)
• Senior Member, Association for the Advancement of AI (AAAI)

Professional Roles:

• Member, Centre for Optimization, Convex Analysis and Nonsmooth Analysis
• Graduate student supervisor

Teaching: Courses in algorithm design, artificial intelligence, discrete mathematics, and network science.