I am an Assistant Research Scientist in Physics & Astronomy at Johns Hopkins University, working with Prof. Alex Szalay and Prof. Rosemary Wyse. I use machine learning to address fundamental questions in astrophysics — from the chemical composition and evolution history of the Milky Way and M31, to the physics of the first billion years of the universe.

As a member of the JHU Galactic Archaeology group, I develop spectral foundation models (SpecCLIP and LoRA fine-tuning, and the successor) to align and transfer stellar information across surveys (LAMOST, Gaia XP, DESI, APOGEE, PFS, etc.), estimating chemical abundance for Galactic archaeology/Near-field cosmology. I am also a formal member of the Subaru Prime Focus Spectrograph (PFS).

During my PhD at Tsinghua University (advisor: Prof. Yi Mao), I studied the Epoch of Reionization — the cosmic dawn when the first stars ionized the intergalactic medium. I built tools including simulation-based inference, wavelet scattering transforms, and diffusion models to extract cosmological information from faint 21 cm data. I also spent 18 months as a visiting researcher at Institut d'Astrophysique de Paris and developed explainable machine learning techniques. (mentor: Prof. Benjamin D. Wandelt).