Denis Boyda

Denis Boyda, Ph.D., possesses extensive experience in high-energy physics simulations and machine learning optimizations across various prestigious institutions. As a researcher and engineer at Far Eastern Federal University, Denis developed software packages for simulations using C++ and CUDA. At Argonne National Laboratory, Denis enhanced the performance of machine learning models for scientific applications on Nvidia GPUs, achieving significant efficiency improvements. Current work as a Software Engineer at Meta focuses on optimizing deep learning collectives and addressing fault-tolerance. Denis holds a Ph.D. in Theoretical Physics from Kurchatov Institute and multiple degrees in physics and computer applications, demonstrating a strong academic foundation in the field.