Scientific computing

AMJAX
Algebraic multigrid solvers in JAX.
Jan 1, 2026
jaxscape
A minimal JAX library for graph-based connectivity analysis at scale.
Jan 1, 2026
A course on reproducible research, data pipelines, and scientific computing
Funding for the CORDS course, coordinated by Mauro Werder.
Jun 11, 2024
Practical introduction to Julia for biodiversity research
Workshop material for modelling and data analysis in biodiversity and earth sciences.
Mar 1, 2023
yDiv workshop funding
Funding for a three-day Julia workshop for biodiversity research.
Aug 1, 2024
Course On Reproducible Research, Data Pipelines, and Scientific Computing
Course material on reproducible research, data pipelines, and scientific computing.
Jun 11, 2024
WSL Biodiversity Center Innovative Workshop Grant
Funding for a Julia workshop on modelling and data analysis in biodiversity and earth sciences.
Mar 1, 2023
Chaotic Slow Slip Events in New Zealand from Two Coupled Slip Patches: A Proof of Concept
T. Poulet, S. Truttmann, Victor Boussange, M. Veveakis
PDF Code DOI
A Unified Framework for Prioritizing Habitat and Connectivity Conservation through Analytical Sensitivity
Revision requested from Landscape Ecology.
B. Van Moorter, I. Kivimaki, M. Panzacchi, R. Schouten, B. Wuyts, B. B. Niebuhr, M. Saerens, Victor Boussange
PDF DOI
Developing an algebraic multigrid solver in JAX
This project aims to develop a high-performance algebraic multigrid (AMG) solver in JAX that supports automatic differentiation and GPU acceleration, addressing critical gaps in existing Python and Julia implementations. The work will enable efficient gradient-based optimization in scientific machine learning applications requiring large-scale linear system solves, with potential to significantly impact the JAX ecosystem for differentiable physics simulations and inverse problems.
Nov 19, 2025
Developing an algebraic multigrid solver in JAX