Explore projects

Image-based pipeline for solving inhomogeneous reaction-diffusion PDEs in real-world porous geometries. Level-set method (multi-CPU) for reconstruction. Sparse grids (multi-GPU) for diffusion simulation. Parallel data structures from OpenFPM.

A Python library for reducing differential equations and dynamical systems.

Documentations for CD-CODE project

parallel parameter homotopy through bertini

PICNIC (Proteins Involved in CoNdensates In Cells) is machine learning-based model that predicts proteins involved in biomolecular condensates.

openfpm_pdata

Jenkins pipelines

PICNIC (Proteins Involved in CoNdensates In Cells) is machine learning-based model that predicts proteins involved in biomolecular condensates.

Napari-stress based image analysis pipeline for measuring physical stress in 68 microscopy recordings of oil droplets embedded in liver organoids.

multiparameter persistence