This project aims to extend the Julia linear algebra ecosystem by developing vendor-agnostic GPU kernels in NextLA.jl for large-scale structured...

KomaMRI.jl is a high-performance Julia package for MRI simulation and differentiable workflows, but its use is currently limited to the Julia...

Julia's medical imaging stack currently relies on 3D U-Net variants for segmentation, which lose spatial relationships through max-pooling. This...

Advanced magnetic resonance imaging techniques, such as RF pulse optimization, increasingly rely on complex, high-performance physical simulations...

This project addresses the challenge of unreliable LLM outputs in complex health informatics workflows by building a domain-grounded...

Graph Neural Networks (GNNs) rely on message passing, traditionally implemented via a gather/scatter mechanism. In GraphNeuralNetworks.jl, this...

This project aims to develop a Julia module for simulating and optimizing Bell distillation circuits, addressing the challenge of selecting efficient...

My main goal this summer is to make Adaptive Mesh Refinement (AMR) fast and efficient for P4estMesh on GPUs within Trixi.jl. Right now, whenever the...

This project develops agent-accessible CLI tooling for the Julia Bayesian ecosystem, delivering three main components: DoodlePPL CLI for model...

The Julia GPU ecosystem allows users to write array programs that run seamlessly across NVIDIA, AMD, and Intel GPUs. This functional portability...

Classical force fields in molecular dynamics are fast but cannot capture bond breaking, charge transfer, or complex many-body chemistry. Machine...

Dagger.jl currently serializes all GPU tasks onto a single stream per device, leaving independent DAG branches unable to run concurrently and GPU...