Research output per year
Research output per year
Personal profile
Personal profile
Prof. Xin Liu received her B.A. 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.
Research Interests
Astronomical survey and data science
Multi-messenger and time-domain astrophysics
Machine learning applications
Professional Information
Exploring the cosmos in the multi-messenger and time domains is a key priority in astronomy and astrophysics for the coming decade. With LIGO fulfilling the long-anticipated promise of gravitational wave astronomy, pulsar timing and the space-based interferometer LISA will open other windows on the gravitational wave spectrum, revealing unknown sources and surprises, much as the first X-ray and radio telescopes did. To realize the full discovery potential in the multi-messenger and time domains, efficient electromagnetic observations and data analysis tools are needed. Capitalizing on the big data transformation and new survey capabilities on the horizon, Prof. Liu's current research is focused on two thematic areas: (i). new windows on the dynamic Universe and multi-messenger astrophysics, and (ii). machine learning applications and data science.
Education
Ph.D. in Astrophysical Sciences, Princeton University, 2010
B.S. in Physics, Tsinghua University, 2004
Honors & Awards
Norman P. Jones Professorial Scholar, 2023-2026
NCSA Faculty Fellow, 2020 & 2023
Lincoln Excellence for Assistant Professor, 2019
Teaching
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
Office Address
210 Astronomy
1002 W. Green St.
Urbana, IL
Office Phone
Education/Academic qualification
Astrophysical Sciences, PhD, Princeton University
Sep 2006 → Aug 31 2010
Award Date: Sep 27 2010
Fingerprint
Fingerprint is based on mining the text of the expert's scholarly documents to create an index of weighted terms, which defines the key subjects of each individual researcher.
- 1 Similar Profiles
Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
A close quasar pair in a disk–disk galaxy merger at z = 2.17
Chen, Y., Liu, X., Foord, A., Shen, Y., Oguri, M., Chen, N., Di Matteo, T., Holgado, M., Hwang, H. & Zakamska, N., Apr 6 2023, In: Nature. 616, 7955, p. 45-49Research output: Contribution to journal › Article › peer-review
-
Dwarf AGNs from Variability for the Origins of Seeds (DAVOS): Optical Variability of Broad-line Dwarf AGNs from the Zwicky Transient Facility
Wang, Z. F., Burke, C. J., Liu, X. & Shen, Y., Feb 16 2023, (E-pub ahead of print) In: Monthly Notices of the Royal Astronomical Society. stad532.Research output: Contribution to journal › Article › peer-review
-
AGNet: Weighing Black Holes with Deep Learning
Lin, J. Y., Pandya, S., Pratap, D., Liu, X., Kind, M. C. & Kindratenko, V., Nov 17 2022, (Accepted/In press) In: Monthly Notices of the Royal Astronomical Society.Research output: Contribution to journal › Article › peer-review
-
A Transient “Changing-look” Active Galactic Nucleus Resolved on Month Timescales from First-year Sloan Digital Sky Survey V Data
Zeltyn, G., Trakhtenbrot, B., Eracleous, M., Runnoe, J., Trump, J. R., Stern, J., Shen, Y., Hernández-García, L., Bauer, F. E., Yang, Q., Dwelly, T., Ricci, C., Green, P., Anderson, S. F., Assef, R. J., Guolo, M., MacLeod, C., Davis, M. C., Fries, L., Gezari, S., & 15 others, Nov 1 2022, In: Astrophysical Journal Letters. 939, 1, L16.Research output: Contribution to journal › Article › peer-review
Open Access -
Investigating the Accretion Nature of Binary Supermassive Black Hole Candidate SDSS J025214.67-002813.7
Foord, A., Liu, X., Gültekin, K., Whitley, K., Shi, F. & Chen, Y. C., Mar 1 2022, In: Astrophysical Journal. 927, 1, 3.Research output: Contribution to journal › Article › peer-review
Open Access