cv
Here is a skim of my CV. For details, please refer to my PDF CV downloadable on the top right.
Basics
| Name | Yufeng (Brook) Luo |
| Label | Graduate Research Assistant |
| brookluo34@hotmail.com | |
| Url | https://brookluo.github.io/ |
| Summary | A computational astrophysics student who is passionate about understanding the universe and its mysteries with supercomputers. |
Work
- 2025.08 - 2026.01
CosmicAI Research Intern
NSF NOIRLab
Funded by NSF-Simons CosmicAI's inaugural seed grant to design a multimodal foundation model (AVIS) for astronomical imaging and spectroscopy.
- Foundation models
- Self-supervised learning
- DESI
- Legacy Survey
- 2021.08 - Now
Graduate Research Assistant
University of Wyoming
As a graduate research assistant, I perform research with Dark Energy Spectroscopic Instrument (DESI) to understand the nature of dark energy and the expansion history of the universe. I also work on the numerical simulations of compact objects with the Einstein Toolkit.
- High Performance Computing
- Astrophysics
- Numerical Simulation
Education
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2021 - Now Laramie, WY
PhD in Physics with Computational Science minor
University of Wyoming
Large-scale Structure of the Universe, Data-Driven Astronomy, Computational Astrophysics
-
2015 - 2020 Champaign, IL
Triple Bachelor's Degrees
University of Illinois at Urbana-Champaign
Engineering Physics, Computer Science + Astronomy, Aerospace Engineering
Awards
- 2026.07
DESI Contributor
Dark Energy Spectroscopic Instrument (DESI) Collaboration
Contributor status verified in July 2026.
- 2025.05
CosmicAI Seed Funding Award
NSF-Simons AI Institute for Cosmic Origins
Inaugural seed grant for a foundation model for trustworthy astronomical source classification with self-supervised learning.
Publications
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2026.04.13 Data Release 1 of the Dark Energy Spectroscopic Instrument
The Astronomical Journal, 171, 285
DESI collaboration data-release paper.
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2026.03.10 ODIN: Spectroscopic Validation of Lyα-Emitting Galaxy Samples with DESI
arXiv:2603.09905
DESI spectroscopy of ODIN-selected Lyman-alpha emitters.
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2026.03.01 Clustering analysis of medium-band selected high-redshift galaxies
JCAP 2026, 03, 019
IBIS + DESI clustering of high-redshift LAE/LBG targets.
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2026.02.27 A Semi-Supervised Learning Method for the Identification of Bad Exposures in Large Imaging Surveys
The Open Journal of Astrophysics
First-author paper on ViT/SSL identification of bad DECam exposures.
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2024.03.01 General Relativistic Stability and Gravitational Wave Content of Rotating Triaxial Neutron Stars
Symmetry, 16, 343
First-author paper on rotating triaxial neutron stars.
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2024.03.01 The EDGE-CALIFA Survey: An Extragalactic Database for Galaxy Evolution Studies
The Astrophysical Journal Supplement Series
EDGE-CALIFA extragalactic database paper.
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2023.12.22 HPC-driven computational reproducibility in numerical relativity codes: a use case study with IllinoisGRMHD
Classical and Quantum Gravity, 41, 025002
First-author reproducibility study of IllinoisGRMHD.
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2021.12.01 The EDGE-CALIFA survey: The resolved star formation efficiency and local physical conditions
The Astrophysical Journal, 923, 60
EDGE-CALIFA resolved star-formation efficiency.
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2021.06.01 DataVault: a data storage infrastructure for the Einstein Toolkit
Classical and Quantum Gravity, 38, 135016
First-author Einstein Toolkit data-storage paper.
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2021.05.01 The EDGE–CALIFA survey: central molecular gas depletion in AGN host galaxies–a smoking gun for quenching?
Monthly Notices of the Royal Astronomical Society: Letters
EDGE-CALIFA AGN quenching letter.
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2021.04.01 The EDGE--CALIFA survey: the local and global relations between Σ*, ΣSFR, and Σmol that regulate star formation
Monthly Notices of the Royal Astronomical Society
EDGE-CALIFA local and global star-formation relations.
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2021.03.01 The EDGE-CALIFA survey: self-regulation of star formation at kpc scales
Monthly Notices of the Royal Astronomical Society
EDGE-CALIFA self-regulation of star formation.
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2021.01.01 The Extragalactic Database for Galaxy Evolution (EDGE)
Proceedings of the International Astronomical Union
IAU contribution on the EDGE database.
Skills
| Physics | |
| Numerical Simulation | |
| Data visualization | |
| Spectroscopy | |
| Photometry | |
| Telescope Operation |
| Computer Science | |
| High Performance Computing | |
| Parallel Computing | |
| Machine Learning | |
| Data Analysis pipeline |
Languages
| Chinese | |
| Native speaker |
| English | |
| Bilingual proficiency |
Interests
| Physics | |
| Physical Cosmology | |
| Large-scale Structure of the Universe | |
| Galactic Dynamics | |
| Galaxy evolution | |
| Dynamical evolution of compact objects |
| Computer Science | |
| Deep Learning | |
| Self-supervised Learning | |
| High Performance Computing | |
| Parallel Heterogenous Computing |
References
| Dr. Adam Myers | |
| Professor of Physics and Astronomy, University of Wyoming. Observational Cosmologist. |
| Dr. Gabrielle Allen | |
| Director of School of Computing, University of Wyoming. Computational Astrophysicist, Numerical Relativist. |
| Dr. Roland Haas | |
| Senior Research Scientist, National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign. Computational Astrophysicist, Numerical Relativist. |
| Dr. Tony Wong | |
| Professor of Astronomy, University of Illinois at Urbana-Champaign. Observational Astronomer focusing on Interstellar Medium (ISM), galaxy evolution and star formation. |