Jiadong Li 李佳东

Paris, 2024

My research focuses on understanding the intricacies of star formation, the evolutionary processes of the Milky Way and nearby galaxies, and their historical contexts, 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. My primary interest lies in the exploration of stellar populations, emphasizing the stellar initial mass function, vertical motion history, and the chemical evolution of galaxies.

selected publications

Stellar initial mass function varies with metallicity and time

Jiadong Li, Chao Liu, Zhi-Yu Zhang, and 4 more authors

Nature Jan 2023
AspGap: Augmented Stellar Parameters and Abundances for 23 million RGB stars from Gaia XP low-resolution spectra

Jiadong Li, Kaze W. K. Wong, David W. Hogg, and 2 more authors

arXiv e-prints Sep 2023

Stellar Parameterization of LAMOST M Dwarf Stars

Jiadong Li, Chao Liu, Bo Zhang, and 3 more authors

Astrophys. Js Apr 2021

Bib

@article{jdli21,
  author = {{Li}, Jiadong and {Liu}, Chao and {Zhang}, Bo and {Tian}, Hao and {Qiu}, Dan and {Tian}, Haijun},
  title = {{Stellar Parameterization of LAMOST M Dwarf Stars}},
  journal = {Astrophys. Js},
  keywords = {M dwarf stars, Astronomy data analysis, Low mass stars, Catalogs, 982, 1858, 2050, 205, Astrophysics - Solar and Stellar Astrophysics, Astrophysics - Earth and Planetary Astrophysics, Astrophysics - Astrophysics of Galaxies},
  year = {2021},
  month = apr,
  volume = {253},
  number = {2},
  eid = {45},
  pages = {45},
  doi = {10.3847/1538-4365/abe1c1},
  archiveprefix = {arXiv},
  eprint = {2012.14080},
  primaryclass = {astro-ph.SR},
  adsurl = {https://ui.adsabs.harvard.edu/abs/2021ApJS..253...45L},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System},
}