Background
My favorite interest is survival analysis, and I am also curious in any topics which are related to Statistics. Welcome to my page for STAT888.
Education
> Ph.D. The University of Wisconsin-Madison (NOW)
> Master National Chiao Tung Univeristy (2017)
> Bachelor National Taipei University (2015)
Working Experience and Intership
> RA for Professor Lu Mao at University of Wisconsin-Madison (NOW)
> TA for STAT 303, 304, 305 (R programming) in University of Wisconsin-Madison (2021 – 2022)
> TA for STAT 309 (Intro to Probabilities and Mathematical Statistics) in University of Wisconsin-Madison (2021 – 2022)
> RA for Professor Weijin Wang in National Chiao Tung University (2019 – 2020)
> RA in Academia Sinica, Institute of Statistical Science, Taiwan (2018 – 2019)
> Intership for Cisco System (2016)
My Interest and goals
Research Interest
Survival analysis, causal inference, missing or censored data, semiparametric theory, clinical trials, behavioral health interventions.
Job or Intership Interest
Any positions that need data analysis is good to me, especially for biostatistics.
The reason I interest in causal inference
Because I would like to analyze time-to-event data, and most of dataset are related to issues of causation. For instance, researchers always want to know the factor causes illness or mortality. Therefore, causal inference is an important area in biostatistics.
Po-Kuei Chen 