Xuemeng Zhang

Xuemeng (Maggie) Zhang is a skilled professional in deep learning and high-performance computing, currently serving as a Deep Learning Solutions Architect at NVIDIA. With a PhD in Computer Science & Engineering from UNSW, they previously held roles as a Postdoctoral Research Fellow at Lero and a Research Fellow at the National University of Defense Technology, focusing on compiler optimization and design space exploration. At NVIDIA, they have leveraged their expertise in GPU technology and CUDA programming to support academic and supercomputing clients, and they are also known for delivering training in deep learning. Additionally, Xuemeng has pursued dual MBA degrees from Melbourne Business School and USC Marshall School of Business.