🎓Vittoria De Pellegrini
(she/her)
PhD Student, Earth Science & Engineering
Professional Summary
Italian-Brazilian PhD student at KAUST and Doctoral Researcher with the DeepWave Consortium, building machine- and deep-learning workflows for subsurface reservoir characterization. I focus on deep generative AI, especially video diffusion models, to model multi-phase subsurface fluid-flow dynamics. My workflows rely on CUDA-aware, reproducible CPU/GPU pipelines running at scale on the KAUST IBEX Supercomputing cluster.
Education
Doctor of Philosophy in Earth Science and Engineering
King Abdullah University of Science and Technology (KAUST)
Master of Science in Petroleum Engineering
Politecnico di Torino
Bachelor of Science in Civil Engineering
Universita degli Studi di Padova
Interests
Deep Learning
Deep Generative Modeling
Generative AI
Video Diffusion Models
Petrophysics & Well-Logging
GCS
Conference Publications
Peer-reviewed submissions where I present diffusion modeling for CO₂ workflows.
Paper Publications
In-depth technical papers and proceedings that capture the experiments behind DeepWave.
Thesis
My Master’s thesis exploring supervised machine learning for well-log prediction.
Experience
Doctoral Researcher
DeepWave Research Consortium, KAUSTBuild deep generative models for multi-phase subsurface fluid-flow dynamics. Design latent conditional diffusion and progressive video diffusion models tailored to CO2 sequestration simulations. Run large-scale CUDA-aware training and inference experiments on the KAUST IBEX supercomputing cluster.Graduate Researcher
Politecnico di TorinoDeveloped supervised machine learning workflows for conventional and advanced well-log prediction. Applied the models to PETROBRAS datasets from the Sao Francisco and Santos basins in Brazil.Geophysics Intern
Aramco Overseas Company B.V.Built a 3D multi-physics synthetic model for a Saudi geothermal site and generated surface wave dispersion curves. Produced synthetic seismograms to support seismic imaging workflows. Recognized with the Aramco Certificate in Seismic Modeling (see download below).
Education
Doctor of Philosophy in Earth Science and Engineering
King Abdullah University of Science and Technology (KAUST)GPA 3.89 (expected 2027)Master of Science in Petroleum Engineering
Politecnico di TorinoGrade 108/110; thesis on supervised machine learning models for well-log prediction applied to Brazilian basins.Bachelor of Science in Civil Engineering
Universita degli Studi di PadovaGrade 110/110
Projects
Featured work and collaborations.
