Jie Li

I am currently a Post-doctoral Researcher in the Department of Computer Science at Texas Tech University, where I also serve as the technical lead for the Data-Intensive Scalable Computing Laboratory (DISCL) and the NSF Cloud and Autonomic Computing Center (CAC IUCRC).

I earned my Ph.D. in Computer Science from Texas Tech University in May 2024, advising under Dr. Yong Chen. My research lies at the intersection of High-Performance Computing (HPC), Systems Security, and AI Infrastructure. I am passionate about addressing critical inefficiencies and security vulnerabilities in modern computing environments through AI-driven system monitoring, proactive cyber-defense, and hardware-software co-design.

My work aims to build secure, autonomous, and energy-efficient architectures to support heterogeneous paradigms, including Generative AI and hybrid quantum-classical workflows. I co-designed and built the NSF REPACSS cluster (a $12.25M award project) and developed the MonSTer HPC monitoring framework, which has been adopted by Dell’s Omnia project. Previously, I spent three summers as a Graduate Student Intern at Lawrence Berkeley National Laboratory (LBNL), where I worked on data pipelines for telemetry analysis and job scheduling for memory-disaggregated systems.