Department of Mathematics, Emory University

Yuanzhe Xi

I am an Associate Professor in the Department of Mathematics at Emory University. My research group develops algorithms and software for large-scale problems in computational science and data science.

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Research Interests

Numerical Linear Algebra

Algorithms for matrix problems arising in simulation, data analysis, and learning, including solvers, preconditioners, eigensolvers, low-rank approximations, and stochastic algorithms.

Scientific Machine Learning

Machine learning methods for scientific computing that combine data with mathematical models, physical constraints, and numerical solvers for simulation, inference, and discovery.

High Performance Computing

Parallel and mixed precision algorithms, scalable implementations, and software that make advanced numerical methods practical on modern architectures and large scientific datasets.

Current funded projects

CAREER: Data-driven Numerical Linear Algebra: Foundations, Methods and Applications

NSF Division of Mathematical Sciences, DMS 2338904. PI, Emory budget $469,483, Sep. 2024-Aug. 2029.

Collaborative Research: Acceleration and Preconditioning Methods for Deep Learning

NSF Division of Mathematical Sciences, DMS 2513118. PI, Emory budget $325,000, Sep. 2025-Aug. 2028.

Bridging Analog and Digital Computing for Scalable Numerical Algorithms

Department of Energy. University PI, Emory budget $360,000, Oct. 2025-Sep. 2027.

Positions and Education2024 - present
Associate Professor, Department of Mathematics, Emory University
2018 - 2024
Assistant Professor, Department of Mathematics, Emory University
2014 - 2018
Postdoctoral Associate, Department of Computer Science and Engineering, University of Minnesota
2014
Ph.D. in Mathematics, Purdue University
2009
B.S. in Computational Mathematics, Dalian University of Technology

          Awards and Grants
          NSF CAREER Award, DMS-2338904, 2024-2029
NSF DMS-2513118, 2025-2028
DOE ASCR, 2025-2027
Lawrence Livermore LDRD subcontract, 2023-2026
NSF DMS-2208412, 2022-2025
NSF DMS-2038118, 2021-2026
NSF OAC-2003720, 2020-2023

        

Editorial Boards2026 - present
Associate Editor, SIAM Journal on Scientific Computing
2026 - present
Associate Editor, SIAM Journal on Matrix Analysis and Applications

Research Group

We welcome motivated graduate and undergraduate students interested in numerical algorithms, scientific machine learning, and scalable computation.

Meet the Group

Current Course

Fall 2026: MATH 300: Mathematics of Data Science

Past courses include Linear Algebra, Numerical Analysis, Nonlinear Optimization, Programming for Mathematics of Data Science, Probabilistic Machine Learning, Numerical Linear Algebra, and Iterative Methods.

See teaching history