Jean-Philippe Valois is a Ph.D. candidate in Computer Science and Applications at the MADIS Graduate School in Lille, with a long-term academic objective of becoming a Lecturer (Maître de Conférences) in Computer Science, specializing in scientific computing, optimization, and high-performance computing. He holds a Master’s degree in Scientific Computing and a Bachelor’s degree in Mathematics, and has a strong background in numerical methods for ordinary and partial differential equations, numerical analysis, linear algebra, modeling, fluid mechanics, optimization, algorithm design, and operations research. His technical expertise includes parallel metaheuristics, genetic algorithms, machine learning, quantum computing, and hybrid parallel programming (MPI+X), with proficiency in C, C++, MATLAB, and Python, as well as OpenMP, MPI, CUDA, and large-scale computing infrastructures such as Grid’5000 and MesoNET. His doctoral research focuses on “Massively Parallel Exact Optimization for Qubit Allocation in Quantum Systems,” addressing scalable algorithms for emerging quantum architectures. He completed a research internship at Inria within the RAPSODI team, working on 3D population dynamics modeling and the numerical solution of partial differential equations using finite difference and finite volume methods, alongside seasonal professional experience in an agricultural cooperative. He has authored one scientific document, received one citation, and currently reports an h-index of 1 and an i10-index of 0, reflecting the early but promising stage of his research career in computational science and high-performance computing.