Welcome!
I’m Xiaolong, working at the intersection of time-domain astronomy, data-intensive science, and AI-driven discovery. My research focuses on light echoes, stellar eruptions, and the dynamic universe revealed by the upcoming survey Rubin LSST. I develop AI based simulation tools, detection algorithms, and photometric/spectral pipelines to explore how light travels through interstellar dust and how transient phenomena shape the evolution of massive stars.
Here you’ll find my research projects, software tools, publications, and updates from my work.
What I do
to understand AI and the universe
Research
I study the dymanics universe using data from the Rubin LSST to understand how stars evolve and how light moves through cosmic dust.
Outreach
I enjoy sharing science with broader communities—through workshops, tutorials, talks, and mentoring. I focus on making complex ideas accessible and inspiring curiosity about the universe.
Coding
I build tools for data analysis, simulations, visualization, and machine learning.
Art
I create visual and creative work inspired by AI and cosmos, it’s where science and creativity meet.
Recent projects
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