Mehdi Jenab

Background

About Mehdi Jenab

A seasoned computational physicist with 10+ years of experience in developing and implementing high-performance computing (HPC) solutions for complex scientific challenges. Proficient in C++, and Python with deep expertise in parallel computing technologies such as OpenMPI, OpenMP, and CUDA, enabling the development of scalable and efficient code. I apply software engineering best practices across the entire development lifecycle—from system architecture and CI/CD pipelines to rigorous testing, comprehensive documentation, and seamless deployment—ensuring the delivery of robust, maintainable, and high-quality software solutions. My work focuses on leveraging computational methods to advance research in quantum computing and nonlinear physics. This includes developing and optimizing quantum chemistry software for Variational Quantum Eigensolver (VQE) simulations, pushing the boundaries of molecular modeling. I have also designed high-performance Vlasov solvers and built Python-based preprocessing and visualization tools for complex data analysis. My international research experience across Sweden, South Africa, the United Kingdom, and Iran has equipped me with a global perspective and the ability to thrive in diverse, interdisciplinary collaborations. A collaborative leader and effective communicator, I have a proven track record of working within interdisciplinary teams, mentoring junior developers, and successfully managing research and software projects. Passionate about emerging technologies, I actively explore the intersection of machine learning, AI, and scientific computing to drive innovation. My commitment to continuous learning and tackling complex challenges is fueled by a deep curiosity in physics, algorithms, society, and history.