Patrick Lemoine

I am a mathematician, statistician, programmer, and scientific researcher with over ten years of experience spanning computer science, computer graphics and vision, neuroscience, and statistical analysis, including expertise in machine learning and deep learning. I hold a PhD in Computer Science from the École Polytechnique Fédérale de Lausanne (EPFL), where my research focused on developing innovative human-machine interaction techniques within virtual reality environments.
My academic background in mathematics, physics, and chemistry has provided me with a solid theoretical and technical foundation. I am proficient in numerous programming languages, including C/C++, C#, Python, R, Java, SQL, Matlab, Mathematica, Maple, Pascal, Fortran, Basic, ADA, Lisp, and Prolog. I am recognized for my expertise in High-Performance Computing (HPC), parallel programming (MPI, OpenMP, multithreading), and GPU programming (HIP/CUDA, SYCL), as well as for my skills in 3D modeling, Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR). My specialization is in Human-Computer Interaction (HCI).
As a highly motivated R&D professional with extensive experience in computer vision, simulation, neuroscience, artificial intelligence, and machine learning, my primary areas of focus are High-Performance Computing (parallel programming, CUDA, HIP) and project management. My aim is to apply advanced AI algorithms, real-time data processing, and scalable HPC architectures to develop robust decision-support systems and autonomous platforms. I am committed to delivering mission-critical solutions that enhance situational awareness and operational efficiency in the defense sector, as well as intelligent diagnostic and therapeutic tools that improve precision and outcomes in healthcare.