Haeun Moon
Assistant Professor
School of Transdisciplinary Innovations, and
Department of Statistics
Seoul National University
Assistant Professor
School of Transdisciplinary Innovations, and
Department of Statistics
Seoul National University
About
I am an assistant professor at Seoul National University, with a joint appointment in the School of Transdisciplinary Innovations and the Department of Statistics
Before joining SNU, I was a postdoctoral researcher at Carnegie Mellon University, mentored by Dr. Kathryn Roeder and Dr. Jing Lei. I received my Ph.D. in Statistics from the University of Pittsburgh, advised by Dr. Kehui Chen.
Before joining a Ph.D. program, I worked as an economic statistician at the Bank of Korea for 2.5 years. I obtained an M.A. in Economics from Seoul National University and a B.S. in Mathematical Science from KAIST.
Research Interest
My research focuses on statistical methodology, with an emphasis on developing flexible methods for complex data.
My current interests include measures of dependence and conditional dependence, variable importance, hypothesis testing, feature screening, and variable selection. I also study missing data, nonparametric and semiparametric inference, conformal prediction, and risk control.
Much of my work is both motivated by and applied to problems in genomics, proteomics, and biomedical research more broadly, including association studies and biomarker evaluation.
Here is my CV.
Academic Positions
Assistant Professor, Seoul National University (2024–present)
Joint appointment in the School of Transdisciplinary Innovations and the Department of Statistics
Postdoctoral Researcher, Department of Statistics and Data Science, Carnegie Mellon University (2022–2024)
Education
Ph.D. in Statistics, University of Pittsburgh, 2022
M.A. in Economics, Seoul National University, 2015
B.S. in Mathematical Science, KAIST, 2012