Michelle Michelle

Michelle Michelle is a Golomb Visiting Assistant Professor of Mathematics at Purdue University, mentored by Jianlin Xia and Haizhao Yang. She holds a PhD in Applied Mathematics from the University of Alberta (2022), advised by Bin Han and Yau Shu Wong. Her research focuses on numerical methods for wave propagation, elliptic interface problems, wavelet methods in PDEs and data science, and scientific machine learning. She has taught courses including MA 303 and MA 266 at Purdue and held teaching roles at the University of Alberta.

Her research explores advanced numerical techniques for solving Helmholtz equations and electromagnetic scattering problems, with notable contributions to wavelet-based Galerkin methods and stable fast multipole algorithms. Recent work emphasizes high-order accuracy, stability analysis, and applications in computational physics.

Michelle has presented at major conferences such as SIAM Applied Linear Algebra (2024) and SIAM Great Lakes Section (2022), focusing on numerical methods for wave equations and algorithmic stability. She has also contributed to workshops like the NSF Computational Mathematics PI Meeting (2024) and ICERM Modern Applied and Computational Analysis (2023). Her publications span journals like SIAM Journal on Numerical Analysis and Applied and Computational Harmonic Analysis.