Chan Park
Scholar

Chan Park

Google Scholar ID: fCHh4jIAAAAJ
University of Illinois Urbana-Champaign
StatisticsCausal inference
Citations & Impact
All-time
Citations
187
 
H-index
8
 
i10-index
6
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • No specific information provided.
Research Experience
  • 2024-Present: Assistant Professor, Department of Statistics, University of Illinois Urbana-Champaign; 2022-2024: Postdoctoral Researcher, Department of Statistics and Data Science, University of Pennsylvania, Mentor: Professor Eric J. Tchetgen Tchetgen; 2015-2017: Statistician, Central Bank of Korea.
Education
  • 2017-2022: Ph.D. in Statistics, University of Wisconsin-Madison, Advisor: Associate Professor Hyunseung Kang; 2009-2015: B.S. in Statistics, minored in Economics, Seoul National University.
Background
  • Research interests include: (a) causal inference under interference and non-i.i.d. settings, (b) causal inference under unmeasured confounding, and (c) optimal treatment regimes and policy learning. A common theme in my research is to use non/semiparametric theory and optimization methods to develop efficient and robust estimators of causal quantities in (a)-(c).
Miscellany
  • Contact email: parkchan[at]illinois[dot]edu; GitHub: http://github.com/qkrcks0218; PhD students at UIUC interested in working with me are encouraged to contact me via email.
Co-authors
0 total
Co-authors: 0 (list not available)