I’m a Ph.D. student at Carnegie Mellon University’s Department of Statistics & Data Science. I’m interested in research topics including applied statistics in physical science, astrostatistics, spatial statistics, 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.
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, sleep (especially if I haven’t done it for a while), and collecting glassware ;-).
