scientific computing

Georgios Grekas

Georgios Grekas

Postdoctoral Research Fellow, Applied Mathematics and Computational Science

solid mechanics biomechanics numerical analysis scientific computing

Georgios Grekas research focuses on mathematical modeling (biomechanics, solid mechanics), numerical analysis, scientific and parallel computing, and scientific machine learning.

Xiaotian Jin

Ph.D. Student, Statistics

Statistical Modeling spatio-temporal statistics scientific computing Python (Programming Language) statistical analysis algorithms optimization

Xiaotian's research focuses on developing computationally efficient non-Gaussian statistical frameworks and the theoretical analysis, with a particular focus on modeling complex spatio-temporal dependencies in high-dimensional environmental datasets.