Tianshi Xu
Postdoctoral Fellow
Emory University • Department of Mathematics
Email: tianshi ( d o t ) xu ( a t ) emory ( d o t ) edu
Location: Atlanta, Georgia, United States
Location: Atlanta, Georgia, United States
I am currently a postdoctoral fellow at Emory University working with Professor Yuanzhe Xi. My research interests lie primarily in machine learning, data science, high-performance computing, and numerical linear algebra.
Research Interests
Technical Methods
Data-Driven Hybrid Solvers
Stochastic Iterative Methods
Numerical Linear Algebra
Core Concepts
Scalable & Robust
Data-Informed
HPC
Applications
Physics Simulation
Inverse Problems
Optimization for Learning
Education
- Ph.D. in Computer Science, University of Minnesota, Twin Cities, U.S. (2023, Advisor: Professor Yousef Saad)
- M.S. in Computer Science (Minor in Biomedical Engineering), University of Minnesota, Twin Cities, U.S. (2019)
- M.S. in Computational Mathematics, Beihang University, China (2016, Advisor: Professor Vladimir Shaydurov)
- B.S. in Computational Mathematics, Beihang University, China (2013)
Recent News
- [Oct-2025] New preprint: "Preconditioned Truncated Single-Sample Estimators for Scalable Stochastic Optimization"
- [Oct-2025] New preprint: "Neural Approximate Inverse Preconditioners"
- [May-2025] New preprint: "Mixed Precision Orthogonalization-Free Projection Methods for Eigenvalue and Singular Value Problems"
- [Apr-2025] New preprint: "Preconditioned Additive Gaussian Processes with Fourier Acceleration"
- [Mar-2025] We are organizing the Atlanta Mathematics of Data Science Bootcamp. [Flyer]
- [Mar-2025] New preprint: "HiGP: A High-Performance Python Package for Gaussian Process"
- [Feb-2025] We are organizing a minisymposium, "Uncertainty Quantification for Machine Learning," at SIAM SEAS25
- [Feb-2025] Paper accepted by International Journal of High Performance Computing Applications: "A Two-level GPU-Accelerated Incomplete LU Preconditioner for General Sparse Linear Systems"