Chan Park

Contact

136 Computing Applications Building
605 E Springfield Ave
Champaign, IL 61820

E-mail : parkchan[at]illinois[dot]edu
Github : http://github.com/qkrcks0218

Background


I am an assistant professor in the Department of Statistics at the University of Illinois Urbana-Champaign.


I was a postdoctoral researcher in the Department of Statistics and Data Science at the Wharton School, University of Pennsylvaina, mentored by Prof. Eric J. Tchetgen Tchetgen. In May 2022, I received my Ph.D. in Statistics from the University of Wisconsin-Madison where I was advised by Prof. Hyunseung Kang. Prior to joining the Ph.D. program in July 2017, I worked as a statistician for two and a half years at the Central Bank of Korea. I received a B.S. in Statistics from Seoul National University.


My research broadly focuses on (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).

CV


Here is the most recent version of my CV 

Employment 


Education


Awards and Honors


Awarded by the Institute of Mathematical Statistics for excellence in research

Awarded by the ASA Epidemiology Section for the top paper to attend JSM 2021

Awarded by the Institute of Mathematical Statistics for excellence in research

Awarded by the ASA Biometrics Section for the best five student papers to attend JSM 2021

Awarded by the Eastern North American Region (ENAR) International Biometric Society to attend ENAR 2020 Spring Meeting

Awarded by the Statistics Department of the University of Wisconsin-Madison for excellence in TAing a graduate-level course

Department of Statistics, Seoul National University

Awarded by the Korea Student Aid Foundation for excellence in science and engineering during undergraduate career

Paper


Preprint