• As a researcher, I am devoted to developing and applying numerical and analytical tools to tackle complex challenges across science and engineering. My mathematical interests span numerical analysis, scientific computing, and mathematical physics. My interests in the natural sciences range from low-energy and high-energy physics to theoretical chemistry, materials science, and computational biology. My interests in engineering focus on quantum engineering, semicondutor engineering, control engineering, and materials design.

• I am a PhD student in Computational Mathematics at Stanford University, working with Prof. Lexing Ying. I received my PhD degree in Theoretical Chemistry at the University of Chicago, where I worked with Prof. Yuehaw Khoo. I received my dual Bachelor’s degree in Physics and Chemistry with highest honors from the University of Chinese Academy of Sciences, where I worked with Prof. Tao Xiang and Prof. Qiang Shi.

Recent news

• The paper Solving high-dimensional Hamilton-Jacobi-Bellman equation with functional hierarchical tensor appears in Arxiv (08/10/24)!
• I started PhD program in Computational Mathematics at Stanford University (09/26/23)!
• I successfully defended my PhD in theoretical chemistry at the University of Chicago entitled “Multiscale Methods for Quantum Many-Body Systems” (08/15/23)!
• The paper Low-Rank Green’s Function Representations Applied to Dynamical Mean-Field Theory appears in PRB (06/13/23)!
• I gave a talk at the Student Computational Math Seminar, the Ohio State University on the topic of Introduction to Computational Quantum Physics (04/21/23)!
• I will be joining Stanford University as a graduate student in Computational and Mathematical Engineering this fall (04/11/23)!
• I will be attending the Modern Applied and Computational Analysis workshop at Brown University during Jun 26 - 30, 2023 (04/21/23)! Look forward to meeting you there.
• The paper Quantum Simulations of Fermionic Hamiltonians with Efficient Encoding and Ansatz Schemes has been published by Journal of Chemical Theory and Computation (2/15/23)! In this work we propose a computational protocol for quantum simulations of Fermionic Hamiltonians on a quantum computer.
• The paper Low-Rank Green’s Function Representations Applied to Dynamical Mean-Field Theory has been posted to the Arxiv (01/18/23)! In this work we show that via a low-rank decomposition, only 20-30 Matsubara frequency nodes are necessary for the Dyson equation solver of the dynamical mean-field theory, compared to 2000 which is typically used. Thanks to all of my collaborators at the Flatiron Institute, Simons Foundation!
• The paper Quantum Simulations of Fermionic Hamiltonians with Efficient Encoding and Ansatz Schemes has been posted to the Arxiv (12/04/22)! Focusing on quantum simulations of Fermionic Hamiltonians on a quantum computer, we show a substantial improvement in the scaling of circuit gate counts and a decrease in the number of required variational parameters.
• The paper Quantum Embedding Theories to Simulate Condensed Systems on Quantum Computers has been published by Nature Computational Science (7/25/22)! It is aimed at discussing different embedding theories and the perspective for their simulations on quantum computers.
• I gave an exciting talk in the APS March meeting 2022 on solving the double counting issue in quantum defect embedding theory (3/15/22)! See the slides here. I also contribute to Dr. Christian Vorwerk’s talk on the application of the embedding theory to oxides. See the slides here.
• The paper Green’s Function Formulation of Quantum Defect Embedding Theory has been published by Journal of Chemical Theory and Computation (6/1/2022)! It is aimed at solving the double counting issue in quantum defect embedding theory.
• I gave an exciting talk as the end of my experience (8/13/21)! See the slides here. I will work remotely with colleagues to finish the project.
• I just start an internship at the Flatiron Institute, working with Dr. Olivier Parcollet, Dr. Jason Kaye and Dr. Kun Chen (6/3/21).