Qiang Sun
Scholar

Qiang Sun

Google Scholar ID: f0V2fAYAAAAJ
Professor of Statistics and Computer Science, University of Toronto & MBZUAI
Trustworthy AIGenerative AIFoundations of AGINext-Generation Statistics
Citations & Impact
All-time
Citations
2,280
 
H-index
20
 
i10-index
34
 
Publications
20
 
Co-authors
26
list available
Resume (English only)
Academic Achievements
  • Serves as an associate editor for Electronic Journal of Statistics (EJS), ASA Journal Data Science in Science (DSiS), and Journal of the American Statistical Association (JASA). Also serves as an area chair for several ML conferences such as ICLR, COLT, AISTATS, and UAI. Recognized as a distinguished alumnus of UNC-Chapel Hill.
Research Experience
  • Before joining UofT, was an associate research scholar at Princeton University. Currently leads the NeXAIS (AGI × Statistics) group and actively collaborates with industry partners.
Education
  • PhD from the University of North Carolina at Chapel Hill; BS in SCGY from the University of Science and Technology of China.
Background
  • Professor of Statistical Sciences, Computer Science, and Computer and Mathematical Sciences at the University of Toronto and a visiting professor at MBZUAI. Research interests include efficient GenAI, trustworthy AI, and foundations of AGI such as next generation statistics. Long-term goal is to develop AI that is efficient, trustworthy, personalized, and accessible to all.
Miscellany
  • Dedicates time to academic philanthropy and the promotion of statistical AI. Welcomes requests for high-level insight, in-depth feedback, collaboration, and invited talks.