Ammar Ahmad Awan is a Researcher at Microsoft. He received his PhD in Computer Science in May, 2020 from The Ohio State University. He received his B.S. and M.S. degrees in Computer Science and Engineering from National University of Science and Technology (NUST), Pakistan and Kyung Hee University (KHU), South Korea, respectively. His current research focus lies at the intersection of High Performance Computing (HPC) libraries and Deep Learning (DL) frameworks. He previously worked on a Java-based Message Passing Interface (MPI) and nested parallelism with OpenMP and MPI for scientific applications. He has published 20 papers in conferences and journals related to these research areas. He actively contributes to the DeepSpeed project at Microsoft. Before that, he has contributed to various projects like MVAPICH2-GDR (High Performance MPI for GPU clusters, OMB (OSU Micro Benchmarks), and HiDL (High Performance Deep Learning). He is the lead author of the OSU-Caffe framework (part of HiDL project) that allows efficient distributed training of Deep Neural Networks.