Hongfei Yu (于洪飞)
I am an undergraduate student in Astronomy at the University of Science and Technology of China (USTC, Class of 2023), and a member of the Wang Shouguan Talent Program in Astronomy.
My interests are in phenomenological cosmology, including Large-Scale Structure (LSS), Dark Energy, and Dark Matter, with a current focus on constraining cosmological parameters and statistics of halo and galaxy distribution. Besides, I’m also interested in the Effective Field Theory (EFT) in LSS and dark energy.
I am building my profile as a great PhD candidate through coursework, coding, and hands-on research projects.
Current Research Focus
- LSS: statistical modeling of halo and galaxy distributions, also galaxy-halo relations.
- Cosmological Parameter Constraint: constructing phenomenological model to constrain cosmology parameters and models with simulation and observation.
- AI for Cosmology: combining Machine Learning (ML) with theoretical and computational methods to probe fundamental physics with cosmological data.
Highlights
- Research experience: project in modern cosmology at NAOC (2024–2025), undergraduate research program at USTC (2025-2026), summer research internship in UW-Madison (2026).
- Collaboration member: member in DESI Cosmological Parameter Estimator (CPE) group.
- Academic training: strong grad coursework in GR & Cosmology, LSS, and AI for Astrophysics, plus a full physics/math foundation.
- Teaching assistantship: Theoretical Mechanics (2025 Fall), Electrodynamics (2026 Spring).
Quick Links
Publications
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(In preparation…) 3D Cosmic Web Cross-Correlation in Tidal Eigenspace I: Anisotropy of Cosmic Web-Halo Correlation and Assembly Bias
Hongfei Yu, Huiyuan Wang arXiv: 26xx.xxxxx
For project details, please visit Research.
Beyond Physics
Outside research, I enjoy badminton, volleyball, and orchestral performance as a percussionist.
I currently serve as president of the USTC Student Symphony Orchestra.
Thanks for visiting — you can find a full profile in my CV.