I am a fifth-year Ph.D. in Computational and Applied Mathematics at University of Chicago advised by Lek-Heng Lim.

Research

I am interested in the roles of symmetry and invariance in computation, with applications in optimization, numerical linear algebra, and quantum computing.

Papers
Talks
  • Linear Representations of ManifoldsMatrix Analysis and Applications, JMM 2027January 2027
  • Symmetries in ComputationsMathematics Colloquium, William & MarySeptember 2026
  • Manifold Representation and Riemannian OptimizationAlgebro-geometric Methods in Deep Learning, 2026 SIAM Annual MeetingJuly 2026
  • A Ten-fold Way of Matrix DecompositionsMidwest Numerical Analysis Day, University of Notre DameApril 2026
  • Summing Divergent Matrix SeriesAlgebraic Statistics, Institute for Mathematical and Statistical InnovationNovember 2023
Academic Activities

Graduate Teaching Assistant, University of Chicago

  • STAT 30900 (Matrix Computation) — Fall 2023, Fall 2024
  • STAT 28000 (Optimization) — Spring 2024
  • STAT 30960 (Matrix Calculus) — Spring 2025Guest Lecturer

Conference Organization

  • Special Session on Applied and Computational Differential Geometry, AMS 2026 Spring Eastern Sectional Meeting
  • Minisymposium on Matrix Geometries, ILAS 2026
  • Special Session on Algebra and Geometry in Computations, JMM 2027

Referee

  • SIAM Journal on Matrix Analysis and Applications
  • SIAM Journal on Scientific Computing
  • Journal of Machine Learning Research
  • Calcolo
  • Advances in Applied Clifford Algebras
  • Linear Algebra and Its Applications
  • Numerical Linear Algebra with Applications
  • Discrete & Computational Geometry
  • Linear and Multilinear Algebra
  • Mathematics of Computation

Short Programs

  • Study Abroad at Math in Moscow, Independent University of Moscow (Spring 2021)
  • REU at Budapest Semesters in Mathematics (Summer 2020)
  • Gene Golub SIAM Summer School on Quantum Computing, Duke University (Summer 2026)
  • Metric Algebraic Geometry: Going Global, ICERM (Spring 2027)