Qinglei Cao | Omni Computing Lab qinglei.cao (at) slu.edu [CV] [Google_Scholar] [LinkedIn] [ORCID] [SLU_Personal_Website]

About Me

I'm an Assistant Professor in the Department of Computer Science at Saint Louis University (SLU) since the Fall of 2023, where I direct the Omni Computing Lab. I completed my Ph.D. in Computer Science in 2022 under the guidance of Dr. Jack Dongarra (Turing Award 2021) and Dr. George Bosilca at the University of Tennessee, Knoxville. I obtained my B.S. and M.E. degrees in China from Hunan University (2009) and Ocean University of China (2016), respectively. Before joining SLU, I was a Postdoctoral Fellow at the University of Tennessee, Knoxville (2023) and a Member of Technical Staff at Cerebras Systems (2022-2023). I also served as an HPC Software Developer & Research Scientist at the National University of Defense Technology (NUDT), contributing to the development and research of the TianHe-1A and TianHe-2 supercomputers (2009-2013).

My research interest lies in areas of High-performance Computing (HPC) and Artificial Intelligence (AI)---including parallel and distributed computing, task-based runtime systems, linear algebra algorithms, extreme-scale climate and weather modeling, and large-scale machine learning & deep learning. I have published many papers in top-rated conferences and journals in HPC, including SC, TPDS, IPDPS, HPDC, CLUSTER, PASC, etc, and is a recipient of the Best Paper Award at IEEE CLUSTER 2020. Notably, I am a finalist for the ACM Gordon Bell Prize three times---once in 2022 and twice in 2024 (one in the general track and one in the climate modeling track)---an annual award recognizing exceptional achievements in HPC and often referred to as the 'Nobel Prize of Supercomputing'. Beyond the research activities, I enjoy basketball, tennis, fishing, hiking, and reading fantasy novels.

I am always looking for motivated undergraduate students and graduate students (Masters and PhDs) to join the Omni Computing Lab (qingleicao.com/lab). Don't hesitate to get in touch with Qinglei Cao for more information.