Kaili Cao is a PhD candidate in physics at The Ohio State University. He is broadly interested in theoretical aspects of astrophysics. Due to limited time and energy, his current research focuses on two specific areas. With Prof. Christopher M. Hirata, he develops image processing algorithms for the High Latitude Wide Area Survey of NASA’s forthcoming Nancy Grace Roman Space Telescope. With Prof. Marc H. Pinsonneault, he uses the Modules for Experiments in Stellar Astrophysics to model evolved stars in APOKASC-3, the third joint spectroscopic and asteroseismic catalog based on data from the APOGEE survey and NASA’s Kepler mission. As an experienced Python programmer, Kaili specializes in writing object-oriented, high-efficiency programs based on libraries like NumPy and Numba, and has introduced Python programming to dozens of people through an unofficial online open course.

Links: NASA/ADS (recommended) / GitHub / ResearchGate / INSPIRE / Google Scholar

Last updated: 7/4/2024