Education

• PhD in Applied Mathematics and Engineering (Cotutelle), École de Technologie Supérieure, Montréal, Canada & University Mohammed VI Polytechnic, Ben Guerir, Morocco, (2022–2026).
• M.S. in Applied Mathematics and Data Science (Double Degree), Université Paris 13 Nord, France & Faculté des Sciences Fès, Morocco, (2020–2022).
• B.S. in Applied Mathematics, Faculté des Sciences de Meknès, Morocco, (2017–2020).

Skills

• Programming Languages:
  Python, MATLAB, C, C++, R, Java.

• Machine & Deep Learning Frameworks:
  JAX, TensorFlow, PyTorch, Keras, Paddle, Scikit-learn.

• Numerical Methods:
  Finite Element, Finite Difference, Radial Basis Meshless Methods.

• Scientific Machine Learning:
  Physics-Informed Neural Networks (PINNs), Neural Operators, Model Calibration, Surrogate Modeling, Data Discovery.

• Simulation & Analysis Software:
  FreeFEM++, ANSYS, HYDRUS-1D/2D/3D.

• High-Performance Computing (HPC):
  Parallel computing (data/model parallelism), multi-node MPI clusters, large-scale deep model training.

• Version Control:
  Git & GitHub.