Professor and interdisciplinary researcher at the Federal University of Rio de Janeiro (UFRJ), working between Computational Science & Engineering and AI/ML.
I came up through Computational Mechanics and HPC, and over time machine learning became impossible to separate from the work. Most of what I do now lives at that boundary: physically grounded surrogate models built with Scientific Machine Learning and deep generative models (mainly flow-based), applied across domains like CO₂ sequestration, complex flows, and systems biology.
Full portfolio — research, publications, courses and graduate advising. · Versão em português
| Flow-Based Generative Models | Graduate · PGMAT and PESC/COPPE |
| Mechanics and Transport Phenomena | Undergraduate · Engenharia Matemática, IM |
- PetIGA — high-performance isogeometric analysis framework (co-developer)
- PetIGA-MF — multi-field extension for structure-preserving B-spline spaces
- EdgeCFD — parallel residual-based variational multiscale code for multiphysics
ORCID · Google Scholar · Lattes · LinkedIn
Department of Applied Mathematics (Mathematics Institute) and PESC/COPPE — UFRJ, Rio de Janeiro