Research output per year
Research output per year
Prof. Xin Liu received her B.S. in Physics from Tsinghua University in 2004 and her Ph.D in Astrophysical Sciences from Princeton University in 2010 under the guidance of Prof. Michael A. Strauss. Before joining UIUC in 2015, she was a NASA Einstein Fellow at Harvard and a Hubble Fellow at UCLA.
Astronomical survey and data science
Multi-messenger and time-domain astrophysics
AI for science
Astronomy is entering an era where scientific discovery is increasingly limited not by the amount of data we collect, but by our ability to extract reliable physical information from it. We build physics-informed, uncertainty-aware, and trustworthy AI that embeds physical principles, symmetries, and probabilistic reasoning directly into modern machine learning, transforming AI from a black-box prediction tool into a rigorous framework for scientific inference. We develop methods for pixel-level analysis, probabilistic modeling, and interpretable scientific machine learning that maximize the information content of complex astronomical observations while providing robust uncertainty quantification and controlling systematic errors. Although our primary applications are in cosmology, the methodologies we develop are broadly applicable across astronomy and other data-intensive scientific disciplines.
Ph.D. in Astrophysical Sciences, Princeton University, 2010
B.S. in Physics, Tsinghua University, 2004
Norman P. Jones Professorial Scholar, 2023-2026
Excellent Teacher Ranked by Students, 2023
NCSA Faculty Fellow, 2020 & 2023
ASTR 596 - AI and Big Data in Astronomy
ASTR 350 - The Big Bang, Black Holes, and the End of the Universe
ASTR 330 - Extraterrestrial Life
210 Astronomy
1002 W. Green St.
Urbana, IL
Astrophysical Sciences, PhD, Princeton University
Sep 2006 → Aug 31 2010
Award Date: Sep 27 2010
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review