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I am a Ph.D. student in the Department of Statistics and Data Science at Carnegie Mellon University, advised by Arun Kumar Kuchibhotla. Before joining CMU, I completed my bachelor’s and master’s degrees in Statistics at Seoul National University, where I was advised by Sungkyu Jung.
My research focuses on developing statistical inferential methods that operate under mild distributional and model assumptions, especially in high-dimensional settings where traditional methods may struggle due to model misspecification or increasing dimensionality. In particular, I am interested in
Assumption-lean Honest Inference
Robustness-Efficiency Trade-off
High/Moderate-dimensional Linear Regression
High-dimensional CLTs and Concentration Inequalities
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