Experience

  1. Doctoral Researcher

    DeepWave Research Consortium, KAUST
    Build 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.

  2. Graduate Researcher

    Politecnico di Torino
    Developed 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.

  3. 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

  1. Doctor of Philosophy in Earth Science and Engineering

    King Abdullah University of Science and Technology (KAUST)
    GPA 3.89 (expected 2027)

  2. Master of Science in Petroleum Engineering

    Politecnico di Torino
    Grade 108/110; thesis on supervised machine learning models for well-log prediction applied to Brazilian basins.

  3. Bachelor of Science in Civil Engineering

    Universita degli Studi di Padova
    Grade 110/110
Skills & Hobbies
Technical Expertise
Generative AI & Diffusion Modeling

Latent conditional and video diffusion models for multi-phase reservoir simulations.

Geoscience & Machine Learning

Supervised, semi-supervised, and unsupervised workflows for well-log prediction and fluid dynamics.

High-Performance Computing

CUDA-aware CPU/GPU pipelines on KAUST IBEX, Docker containers, and Linux terminals.

Research Tooling
Python & Scientific Libraries

PyTorch, TensorFlow, Hugging Face Transformers, Accelerate, Optuna, TensorBoard, NumPy, Pandas.

Collaboration & Documentation

Overleaf, LaTeX, Slack, Zoom, and Microsoft 365 for reproducible workflows.

Awards
Aramco Certificate in Seismic Modeling
Saudi Aramco ∙ November 2022
Certified for the geophysical modeling work performed during the Aramco Overseas Company internship, including synthetic model construction and seismogram generation.
Languages
100%
Italian
100%
Brazilian Portuguese
90%
English
60%
Spanish
30%
Khaliji Arabic