Assistant Computational Scientist
Khalid joined Argonne in 2023 as a postdoc to support Python and Supercomputing at ALCF. His current research efforts involve optimizing the large scale deployments of AI training and inference workloads with focus on the collective communications. He is also working on building and deploying a robust, scalable AI/ML software stack on Aurora. Khalid obtained his PhD in Physics from Washington State University in 2022, where he studied the generation and decay of turbulent states in quantum fluids. This required performing numerical simulations of Schrodinger equation at extremely large scales.