Mathematician. Computational cardiology, AI, Computer Graphics, Scientific Visualization.
MSc in Data Science @UOC. Currently working on my PhD as Project Research Associate @CoMMLab, Universitat de València.
Almost 10 years of Blender expertise: 4 years as a freelance 3D artist for 100+ international clients; passionate about innovative software for complex scientific data analysis.
| Project | What it does | |
|---|---|---|
| SciBlend | Official Blender extension for scientific visualization. Imports formats Blender does not read natively (VTK, netCDF, Shapefile), generates shaders, legends and coordinate grids, and renders large time-varying data with Cycles and EEVEE. | Extension · Source · Paper |
| SciGraphs | Official Blender extension for network science. Graph layouts, centrality metrics, community detection, geospatial data and sparse-matrix input, plus Geometry Nodes, VR inspection and LLM-assisted scene generation. | Extension · Paper |
| BasicSpanner | C++/Qt6 desktop application for extreme graph simplification. Given a set of seed nodes it computes the basic network: the strict spanner holding those seeds plus the minimal set of connectors that preserves the distances between them. | Source |
Visualization and Analysis of Graphs with SciGraphs — J. Marín, I. Marín, I. García-Fernández
The Eurographics Association, 2026 · 10.2312/ceig.20261030
SciBlend: Advanced data visualization workflows within Blender — J. Marín et al.
Computers & Graphics 130, 104264, 2025 · 10.1016/j.cag.2025.104264
Extreme graph simplification applied to functional discovery in biological networks — J. Marín, I. Marín
PLOS Computational Biology, under review
| Blender Conference | Amsterdam | Graph Visualization and Analysis with SciGraphs · 24 Sep |
| CinC | Madrid | Shape-Driven Surrogate Modeling of Thoracic Aortic Hemodynamics · 20–23 Sep |
| VPH | Milan | Predicting Hemodynamics from Aortic Geometry · 1–4 Sep |
