- I am open to work! See my CV for more on my work and skills and get in touch so I can tell you more.
- I am an Applied Mathematician and Computational Scientist focusing on the numerics of Partial Differential Equations (PDEs).
- During my Ph.D. at TU Vienna (Austria), I worked on methods for Stochastic PDEs and Random Coefficient PDEs. I am especially interested in nonlinear, time-dependent problems.
- I focus on Sparse Grid interpolation, which can approximate high-dimensional sparse functions with possibly dimension-independent accuracy, based only on point samples.
Deep Learning / HPC / Numerical Simulation / Applied Math
- Vienna, Austria
-
03:30
(UTC +01:00) - https://andreascaglioni.net/
- https://orcid.org/0000-0002-8601-5902
- in/andreascaglioni
Highlights
- Pro
Popular repositories Loading
-
python-project-template
python-project-template PublicA small python project to showcase good programming and software practices such as testing, documentation, CI/CD. This project implements a small dependence-free Calculator API (Operation, Operatio…
Python 4
-
-
stochllg
stochllg PublicApproximation of the Stochastic Landau-Lifshitz-Gilbert equation (micromagnetics) with the Tangent Plane Scheme and finite elements.
Python
-
ctg-wave
ctg-wave PublicContinuous-Time Galerkin (CTG) space-time finite element method (FEM) for deterministic and stochastic wave equations.
Python
Something went wrong, please refresh the page to try again.
If the problem persists, check the GitHub status page or contact support.
If the problem persists, check the GitHub status page or contact support.