Kiho Park
Scholar

Kiho Park

Google Scholar ID: f4HcMx8AAAAJ
University of Chicago
Artificial IntelligenceInterpretabilityStatistics
Citations & Impact
All-time
Citations
378
 
H-index
3
 
i10-index
3
 
Publications
5
 
Co-authors
4
list available
Resume (English only)
Academic Achievements
  • No specific mention of published papers, awards, patents, or projects.
Research Experience
  • Research during PhD focuses on the foundations of AI, particularly on the interpretability of large language models. Prior to that, worked on research related to statistics at Seoul National University.
Education
  • PhD: University of Chicago, Statistics, Advisor: Prof. Victor Veitch; Bachelor's: Seoul National University, Major in Statistics and Mathematics, Advisor: Prof. Sungkyu Jung.
Background
  • Research Interests: Foundations of AI, Large Language Model (LLM) interpretability. Field: Statistics. Background: Passionate about uncovering the underlying mechanisms of LLMs and contributing to the development of more transparent and interpretable AI systems.
Miscellany
  • Interests: Committed to bridging the gap between theoretical statistics and practical AI applications, welcomes collaborations and discussions on AI interpretability, AI safety, and the future of AI technologies.