Mohammad Fazelzadeh

Background

About Mohammad Fazelzadeh

8 years of experience in conducting simulations on various physical systems using python and C++, including data generation, pre-processing, analyzing and visualization.4 years of experience in execution of numerous simulations in HPC cluster using containers, Slurm job submission system and bash language for organizing the extensive resulting data. 4 years of experience in GPU accelerated programming in C++ and Python; experience with Numba (CUDA), TensorFlow/PyTorch and CuPy.Completed the Udemy course titled “Machine learning A-Z”, solving hands-on challenging machine learning and deep learning problems, including data pre-processing, model designing and hyper parameter tuning.Delivered a variety of tutorials, seminars and presentations, such as teaching assistance for hydrodynamics and computational statistical mechanics and simulation methods in polymer physics.Advised 5 bachelor and master students for their academic projects on simulations of active matter. This includes giving fundamental physical insights about their projects, introducing the algorithms for simulation and trouble shooting their codes.