Chan Park

Contact

306 Academic Research Building
265 South 37th Street
Philadelphia, PA 19104

E-mail : chanpk[at]wharton[dot]upenn[dot]edu
Github : http://github.com/qkrcks0218

Background


I am 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


Paper


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