Neoneuron
Ph.D. Thesis. A novel methodology for real-time generation of neuronal morphology using Mesh Shaders and compact procedural representations.
Ph.D. Candidate in Computer Graphics & HPC. Systems Architect.
A catalog of graphics engines, tools, simulations and other projects I've worked on.
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A chronological record of professional roles, academic milestones, and key engineering contributions.
Ongoing doctoral research focused on real-time visualization techniques, GPU-based geometry generation, and symbolic representation of complex scientific structures. The work is being developed within VG-Lab, in the context of scientific visualization and neuroinformatics.
Awarded 3 distinctions (matrÃculas de honor).
Awarded best academic record in the Computer Engineering program. Earned 8 distinctions (matrÃculas de honor), including both final degree projects.
Ongoing development of visualization technologies, building upon prior internship and collaboration work. Over four years of experience in the group, contributing to research and tool development in the context of scientific visualization.
Developed AcuteRecorder, a Qt-based tool for selective recording of application UI sections. Created ParticleLab, a library for OpenGL-based particle generation with high efficiency.
Development of scientific visualization tools using C/C++, CMake, Boost, and Qt. Notable contributions to applications such as ViSimpl and SynCoPa. Version control with GitLab and GitHub. Additional use of Python, Java, JavaScript, and TypeScript for specific tasks.
Open for research collaborations and engineering opportunities.