Xiaosheng Huang

Xiaosheng Huang leads a research team, with mostly undergraduate students, that has found the largest number of strong gravitational lens candidates using cutting-edge machine learning techniques. He leads large-scale observation programs for high resolution and spectroscopic confirmation of these candidates. His team has also developed the fastest lens modeling code, GIGA-Lens. He is the PI and Co-I of a number of significant programs on the Hubble Space Telescope, the James Webb Space Telescope, and the Nancy Grace Roman Space Telescope. His team collaborates with the Supernova Cosmology Project, the Nearby Supernova Factory, and the Dark Energy Spectroscopic Instrument at the Lawrence Berkeley National Laboratory, as well as researchers at NSF's NOIRLab and the Space Telescope Science Institute.

• Cosmological analysis
• Machine learning/AI appplications
• Search for strong gravitational lenses in imaging surveys with machine learning
• Strong gravitational lens modeling
• Supernova spectroscopy

• Cosmology
• Strong gravitational lensing
• Type Ia supernovae

• UC Berkeley, PhD in Physics, 2004
• Kent State University, BS & MA in Physics, 1995

• Dean’s Scholar Award, College of Arts & Sciences, USF, 2024
• Outstanding Mentors Award, Lawrence Berkeley National Laboratory, 2021

• William Sheu, Aleksandar Cikota, Xiaosheng Huang et al. The Carousel Lens: A Well-Modeled Strong Lens with Multiple Lensed Sources, 2024, accepted by the Astrophysical Journal.
• C. Storfer, X. Huang, et al. New Strong Gravitational Lenses from the DESI Legacy Imaging Surveys Data Release 9, 2024, accepted by The Astrophysical Journal Supplement Series.
• A. Cikota, I. Bertolla, X. Huang, et al., The Astrophysical Journal Letters, 953, L5, 2023.
• A. Gu, X. Huang, et al., The Astrophysical Journal, 935, 17, 2022.
• X. Huang, C. Storfer, A. Gu, et al., The Astrophysical Journal, 909, 27, 2021.