I’m a Ph.D. candidate in the Department of Statistics & Data Science at Carnegie Mellon University. I’m interested in applied statistics in physical science, astroinformatics, spatial-temporal statistics, online learning and sequential decision making, and simulation-based inference. My current research mainly focuses on early and temporally consistent time series classification, as well as calibrated predictive inference techniques arising from such tasks, applied primarily to light curve classification for Legacy Survey of Space and Time (LSST).
Before moving to Pittsburgh, I completed my undergraduate work at University of Wisconsin-Madison with majors in Mathematics & Statistics and a minor in Computer Science, where I had a great time working with Prof. Jessi Cisewski-Kehe and Prof. Ke Fang.
I enjoy a few hobbies, including digital and film photography (my Instagram), playing guitar, tennis, table tennis, soccer, sleeping (especially if I haven’t done it for a while), and collecting glassware ;-).