Galactic archaeology
Reconstructing the Milky Way's assembly history from the motions, origins, and distributions of its stellar populations.
Galactic archaeology | Stellar abundances | Data-driven astronomy
Tracing the Milky Way through dynamics, chemistry, and large-scale surveys.
Zhuohan Li is a postdoctoral researcher in the School of Space Science and Technology at Shandong University. He studies the formation and evolution of the Milky Way using stellar dynamics, chemical abundances, astronomical surveys, and machine learning.
Research focus
Milky Way structure, formation, and chemical evolution.
Chemo-dynamics
Connecting stellar chemistry and orbital structure to the dynamical evolution of the disk, bulge, and halo.
Data-driven astronomy
Developing methods for inference from large astrometric and spectroscopic surveys, including machine-learning approaches.
Research approach
From stellar measurements to Galactic history.
Observations, physical interpretation, and statistical learning
The research connects large survey data sets with dynamical and chemical evidence to investigate how the Milky Way formed and continues to evolve.
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