Guoxiang Grayson Tong
My name is Guoxiang (Grayson) Tong, and I am a postdoctoral researcher in the Cardiovascular Biomechanics Computation Lab at Stanford University, supervised by Dr. Alison L. Marsden. My research focuses on simulation and uncertainty quantification of soft biological tissue growth and remodeling.
I graduated from University of Notre Dame in Spring 2025, majoring applied mathematics, computation, and statistics (ACMS). I worked with Dr. Daniele E. Schiavazzi and Dr. Carlos A. Sing Long, focusing on inverse problems, identifiability analysis, and uncertainty quantification of physics-based models.
Previously, I studied mechanical engineering at University of Colorado at Boulder. My master’s thesis was on divergence-conforming Isogeometric analysis of incompressible turbulent flows, advised by Dr. John A. Evans and Dr. David Kamensky.
news
| Jan 10, 2026 | I will present my research at SIAM-UQ 2026 in Minneapolis, Minnesota! The topic is: “Uncertainty quantification in soft biological tissue growth and remodeling”. I am also honored to serve as the session chair of Applications-II. |
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| Jun 01, 2025 | I successfully defended my Ph.D. dissertation and graduated from the University of Notre Dame! |
| Apr 01, 2025 | I gave a minisymposium talk at SIAM-CSE 2025 in Fort Worth, TX ! The topic is: “InVAErt networks for amortized inference and identifiability analysis of lumped parameter hemodynamic models”. |