Email: le.zhao@ufl.edu
Office: NPB #2331
Physics Ph.D. Student · University of Florida
Lexu Zhao (Gavin)
Theoretical Condensed Matter Physics · AI for Fundamental Science
My research spans theoretical condensed matter physics and AI for fundamental physics. I study correlated quantum many-body systems and topological quantum matter through mathematical methods, high-performance computing, and machine learning, with broader interests in quantum computing.
Previously, I worked in stellar astrophysics, building ML methods for the spectral classification of main-sequence stars and cool dwarfs. My long-term goal is to uncover new physical principles across scales, from quantum systems to the universe.
Last updated: 2026 Fall
2024–Present Ph.D. in Physics, University of Florida
Condensed Matter Theory, AI in fundamental Science (correlated quantum many-body systems, topological quantum matter,
physics-informed machine learning, quantum computing, etc.); Advisor: Jiabin Yu; Quantum Theory Project
2020–2024 B.S. in Mathematics, University of California San Diego
B.S. in Physics (Astrophysics), University of California San Diego
Stellar astrophysics and machine-learning-based spectral classification; Advisor: Chris Theissen
2026 Ideal Bands in Tight-Binding Models
L. Zhao, Y. Ge, S. Ryu, J. Yu · arXiv Research Gate
2026 Two-magnon Response from Light Scattering in Altermagnets
S. Li, L. Zhao, C. Jia · arXiv
2025 Reduced Density Matrices Through Machine Learning
A. A. Azam, L. Zhao, J. Yu · arXiv (Co-first author)
2025 Classifying Cool Dwarfs: Comprehensive Spectral Typing of Field and Peculiar Dwarfs using Machine
Learning
T. Zhou, C. A. Theissen, S. J. Feeser, W. M. J. Best, A. J. Burgasser, K. L. Cruz, L. Zhao · The Astrophysical Journal 992, 93 · arXiv · Data
Oct 2026 Machine Learning Quantum Many-Body Correlations
NanoDay 2026 Research Symposium, University of Florida, Gainesville, Florida · Poster Presentation
Mar 2026 Wilson-Loop–Ideal Bands in Tight-Binding Models
APS Global Physics Summit, Denver, Colorado · Contributed presentation (first author) · Abstract · Slides
Mar 2026 Machine-Learning Accelerated Calculations of Correlation Functions
APS Global Physics Summit, Denver, Colorado · Contributed presentation (Co-first author) · Abstract
Mar 2026 Two-Magnon Excitations in Altermagnetism Probed by Inelastic Light Scattering
APS Global Physics Summit, Denver, Colorado · Contributed presentation (Co-author) · Abstract
Mar 2026 Reduced Density Matrices Through Machine Learning
Graduate Student and Postdoc Seminar (GSPS), Department of Physics, University of Florida, Gainesville, Florida · Research Talk · Slides
Jan 2026 Reduced Density Matrices Through Machine Learning
2026 Theory Winter School, National High Magnetic Field Laboratory, Tallahassee, Florida (Co-first author) · Poster
Dec 2025 Reduced Density Matrices Through Machine Learning
Invited Seminar, Department of Physics, Pennsylvania State University, University Park, Pennsylvania (Co-first author) · Slides
Nov 2025 Machine-Learning Accelerated Calculations of Reduced Density Matrices
Quantum Geometry and Moiré Materials, Institute for Fundamental Theory Workshop, University of Florida, Gainesville, Florida · Poster
Jan 2025 Cool Stars, Hot Tech: Spectral Typing of M, L, and T Dwarfs with Machine Learning
245th meeting of the American Astronomical Society, National Harbor, Maryland (Co-author) · NASA ADS · BAAS · Featured: AI & Astronomy Weekly
Jun 2024 Cool Stars, Hot Tech: Spectral Typing of M, L, and T Dwarfs with Machine Learning
22nd Cambridge Workshop on Cool Stars, Stellar Systems, and the Sun (Cool Stars 22), San Diego, California (Co-author) · Poster
Jan 2024 Innovative Template Creation for Spectral Typing: A Study of Gaia DR3's Low-Resolution Spectra
243rd Meeting of the American Astronomical Society, New Orleans, Louisiana · Contributed presentation · NASA ADS · BAAS
Sept 2023 From Distant Stars to Data: Spectral Typing in the Era of Gaia Data Release 3
Undergraduate Summer Research Award (USRA) Session · Poster
Aug 2023 Spectral Typing All of Gaia Data Release 3: A Study of Low-Resolution Spectra
2023 Summer Research Conference (SRC), University of California San Diego, La Jolla, California · Oral presentation · Program · Slides
Aug 2023 A Machine Learning Approach to the Spectral Classification of Ultracool Dwarfs
2023 Summer Research Conference (SRC), University of California San Diego, La Jolla, California · (Co-author, by Tianxing) · Program
Teaching Fellowship
Department of Physics, University of Florida · 2024 · additional $5,000
Physics Honors Program
UC San Diego Department of Physics · 2024 · Commencement Program
NASA L'SPACE Academy NPWEE Fellow
NASA · 2023 · Certificate
Undergraduate Summer Research Award (USRA)
School of Physical Sciences, UC San Diego · 2023 · $7,500
Provost’s Honors
Earl Warren College, UC San Diego · Multiple Quarters, 2020–2024
Teaching Assistant, Physics
University of Florida · 2024 - Present
Courses/Labs Taught: PHY2004L, 2048L, 2053L
Teaching Assistant, Mathematics
University of California San Diego · 2023 - 2024
Courses Taught: MATH2, 3C
NASA IRTF/SpeX Remote Observing — Co-observer
TESS Ultracool Dwarfs · Jul 2023
Astronomy Club - President
University of California San Diego · 2022 - 2023
Stellar Data Lab - Undergraduate Researcher
University of California San Diego · PI: Chris Theissen · 2022 - 2024
Cool Star Lab - Undergraduate Researcher
University of California San Diego · PI: Adam J. Burgasser · 2022 - 2023