I’m a Ph.D. student in the Department of Statistics & Data Science at Carnegie Mellon University. I’m interested in research topics including applied statistics in physical science, astrostatistics, spatial statistics, nonparametric methods, times series analysis, and ill-posed inverse problems. Some of my previous research and project experiences are related to developing statistical methodologies for analyzing point-source data for IceCube Neutrino Observatory, efficient feature selection methods for high-dimensional datasets, geometric group theory, and random integer matrices. My current research mainly focuses on classification and inference challenges in Legacy Survey of Space and Time (LSST) data.
Before moving to Pittsburgh, I completed my undergraduate work at University of Wisconsin-Madison with double majors in Mathematics & Statistics and a minor in Computer Science. I had a great time there working with some outstanding faculties like Prof. Jessi Cisewski-Kehe, Prof. Ke Fang, and Prof. Caglar Uyanik. I enjoy a few hobbies, including digital and film photography, playing electric and acoustic guitar (I have a 20-year-old acoustic guitar), tennis, table tennis, soccer, cycling, sleeping (especially if I haven’t done it for a while), and collecting glassware ;-).
