Elaine K. Chiu

I am Elaine K. Chiu (also known as Elaine Chiu), a fifth-year Ph.D. student in Statistics at the Department of Statistics, University of Wisconsin–Madison, advised by Dr. Hyunseung Kang and working closely with Dr. Siyu Heng. I develop causal inference methods for public health, biomedical, and social science applications, leveraging my passion for observational data, statistics, and software engineering. My core strength lies in translating real-world problems into methodological innovations. My representative works include Exact, Nonparametric Sensitivity Analysis for Observational Studies of Contingency Tables and Towards Robust Matched Observational Studies with General Treatment Types: Consistency, Efficiency, and Adaptivity. I draw on my software development expertise to turn these theoretical advances into practical tools, such as the sensitivityIxJ package.

Email: chiukuanjung@gmail.com
Curriculum Vitae (PDF) · LinkedIn · GitHub