Qinglei Cao is an Assistant Professor in the Department of Computer Science at Saint Louis University (SLU), where he leads the Omni Computing Lab. He earned his Ph.D. in Computer Science from the University of Tennessee, Knoxville, under the mentorship of Dr. Jack Dongarra (Turing Award 2021) and Dr. George Bosilca. He holds a B.S. from Hunan University and an M.E. from Ocean University of China. Prior to joining SLU, he was a Postdoctoral Fellow at the University of Tennessee and a Member of Technical Staff at Cerebras Systems.

Dr. Cao’s research focuses on High-Performance Computing (HPC) and Artificial Intelligence (AI), with expertise in parallel and distributed computing, task-based runtime systems, linear algebra algorithms, large-scale machine learning, and extreme-scale scientific applications. He received the Best Paper Award at IEEE CLUSTER 2020 and was awarded the ACM Gordon Bell Prize for Climate Modelling in 2024. He was also a Gordon Bell Prize finalist in both 2022 and 2024. The ACM Gordon Bell Prize is an annual award recognizing exceptional achievements in HPC and often referred to as the 'Nobel Prize of Supercomputing'.

I'm a Ph.D. student at Saint Louis University specializing in Computer Science, with a Master's from New York University and a Bachelor's from Miami University. My technical skills include Python, C, C++, and more. During my Traini Inc. internship, I developed the Traini app using Swift UI, trained YOLOv3 models for dog motion detection, and analyzed movement patterns for user recommendations. As a Research Scientist at NYSPI, I transformed classrooms into labs, using PyCharm for Psychopy environments, debugging data structures, and developing EEG pipelines. Currently, I focus on High-Performance Computing (HPC) and Artificial Intelligence (AI) under Dr. Cao's guidance. I aim to optimize AI in HPC environments, utilizing GPUs and CPUs for large-scale data processing and deep learning applications. My research spans computer science, machine learning, deep learning, parallel computing, and distributed computing, addressing challenges in scientific research, healthcare, finance, and global issues.

I’m a Ph.D. student in Department of Computer Science of Saint Louis University. I have obtained my bachelor’s degree in University of Science and Technology of China, major in Mathematics and Applied Mathematics. During undergraduate period, I participated in a project titled "Innovation Studies of Mathematical Methods of Classical Mechanics". Our team has made research on the properties of integrable systems and made simulation by numerical modeling on three-body problem with Runge-kutta method. Now I concentrate on Artificial Intelligence (AI) and High-Performance Computing (HPC) especially in the area of climate prediction, where data and computation are much more huge than normal. In addition, this research could expand to the whole field of machine learning with the aim of accelerating and keeping precise.