Jiadong Li 李佳东

My research focuses on understanding the intricacies of star formation and stellar physics, leveraging extensive datasets. I employ advanced methodologies, including machine learning techniques, statistical inference, and predictive modeling, to analyze data from leading astronomical surveys such as SDSS-V/APOGEE, Gaia, LAMOST, and CSST. Specifically, my work centers on the identification and statistical analysis of binary stars, the stellar initial mass function (IMF), and the physics of stellar atmosphere models. These areas are fundamental to my broader investigation into stellar populations and the assembly history of the Milky Way.

I was born in Benxi, a small city in Northeast China. When the People’s Republic was founded, this place was a powerhouse of steel and coal. Winters here bite with bitter cold, but come autumn, the hillsides blaze with maple leaves in breathtaking beauty.

After finishing high school in Benxi, I moved to Beijing to study astronomy at Beijing Normal University (BNU), home to one of China’s oldest astronomy departments. Later, I pursued my PhD at the National Astronomical Observatories of China (NAOC), Chinese Academy of Sciences, under the guidance of Professor Liu Chao. During my doctoral studies, I spent time as a visiting researcher at the Flatiron Institute in New York. In the winter of 2023, I made my way to Heidelberg to begin my postdoctoral journey at MPIA, working alongside Professor Hans-Walter Rix.

Selected Publications