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Resume (English only)
Background
Astrophysicist and AI x Science researcher
Research interests include: Galaxy Evolution, Stellar Astrophysics, Cosmology/Reionization, Planetary Systems, Large Language Models for astronomy, and Simulation-Based Inference
Focuses on advancing astronomy through modern deep learning to tackle complex, nonlinear inverse problems across cosmic scales
Actively analyzes data from major surveys: spectroscopic (SDSS-V, DESI, 4MOST), astrometric (Gaia), photometric (Euclid, Roman, CSST), and time-domain (LSST, TESS, PLATO)
Principal Investigator of the AstroMLab collaboration (formerly UniverseTBD), working with Oak Ridge National Laboratory and the Astrophysics Data System (ADS) to build astronomy-specific large language models
Aims to develop end-to-end autonomous 'AI x Scientist' systems to accelerate astronomical discovery