Hossein Ghorbanfekr is a computational physicist with over a decade of expertise in scientific programming for material modeling, specializing in C/C++ and Python. During his Ph.D., he wrote various codes, utilizing parallel computing and GPU acceleration. Since 2020, he has been working as a data scientist, focusing on machine learning and high-performance computing in research projects. Hossein has contributed to the development of an object detection framework for waste stream analysis and created GEOBERTje, a domain-specific large language model in geology. His recent work includes Pantea, an open-source, GPU-accelerated machine learning framework for molecular simulations.
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