Mohamed Elashri is a dedicated particle physicist and research software engineer currently completing his PhD in Physics at the University of Cincinnati, while actively contributing to the LHCb experiment at CERN. His work uniquely integrates high-performance computing with physics analysis, emphasizing the development of critical scientific software for large-scale data processing. Elashri specializes in C++, CUDA, and GPU programming, focusing on real-time data processing frameworks like Allen. His research also encompasses machine learning applications, where he incorporates neural-network-based reconstruction algorithms into GPU-resident pipelines.

Elashri is affiliated with the IRIS-HEP project, contributing to software and computing developments for high-energy physics, particularly in preparation for the High-Luminosity LHC. His broader interests include scientific computing, ML inference, and open-source software. With a background in particle physics complemented by his experience in experiments at Fermilab, Elashri is poised to make significant contributions to the field. You can explore his extensive work through publications, projects, and talks featured on his academic website.