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'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.