Sicong(Sheldon) Huang
Scholar

Sicong(Sheldon) Huang

Google Scholar ID: Qp2pme4AAAAJ
University of Toronto
LLM ForecastingAutomated Scientific DiscoveryAI Psychology
Citations & Impact
All-time
Citations
447
 
H-index
7
 
i10-index
6
 
Publications
15
 
Co-authors
10
list available
Publications
15 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Co-founded UTMIST and for.ai (acquired by Cohere to become Cohere Labs) to create opportunities for the next generation of AI talent.
Research Experience
  • Collaborating with the Forecasting Research Institute, working with Philip Tetlock, Ezra Karger, and Chris Karvetski on AI judgmental forecasting and hypothesis generation.
Education
  • Pursuing a PhD in the Machine Learning Group at the University of Toronto, advised by Roger Grosse and Jimmy Ba.
Background
  • Research interests include building interpretable AI systems to understand and forecast human behavior. This research contributes to AI Safety and AI for Science.
Miscellany
  • Interests include advancing the mission through community and welcoming anonymous feedback.