Jiadong Li

Jiadong Li is a Research Fellow at the Max Planck Institute for Astronomy (MPIA) in Heidelberg, Germany. He previously completed his PhD at the National Astronomical Observatories of China (NAOC) under Professor Liu Chao and was a visiting researcher at the Flatiron Institute in New York. His academic foundation was laid at Beijing Normal University (BNU), where he studied astronomy.

Li's research focuses on

• stellar physics and binary star systems,
• statistical analysis of stellar initial mass function (IMF) variations,
• and differentiable stellar atmosphere modeling using machine learning frameworks.

His work leverages data from Gaia, LAMOST, SDSS-V/APOGEE, and the upcoming CSST to unravel the assembly history of the Milky Way and metallicity-dependent star formation mechanisms.

Recent publications highlight his contributions to

• identifying millions of binary stars via Gaia spectra,
• developing physics-informed neural networks for stellar atmosphere emulation,
• and creating AspGap, a dataset for 37 million red giant stars.

He actively builds open-source tools like Kurucz-a1 (stellar atmosphere emulator) and AspGap (stellar parameter augmentation), reflecting his commitment to computational astrophysics and data-driven research.