Jim Leek

Jim Leek

About Jim Leek

Jim Leek is a computer scientist with extensive experience in satellite tracking simulation and parallel computation. He has worked at Lawrence Livermore National Laboratory since 2004 and has contributed to various projects, including the Space Situational Awareness Project and the Carbon Capture Simulation Initiative.

Work at Lawrence Livermore National Laboratory

Jim Leek has been employed at Lawrence Livermore National Laboratory as a Computer Scientist since 2004. His role involves significant contributions to various computational projects. He has worked on porting codes to advanced parallel architectures, including BlueGene/P and BlueGene/Q. His expertise in parallel computing and simulation has been instrumental in enhancing the laboratory's research capabilities.

Education and Expertise

Jim Leek studied at the University of California, Berkeley, where he earned a Bachelor of Arts in Computer Science from 1999 to 2003. He continued his education at the University of California, Davis, achieving a Master's degree in Computer Science from 2005 to 2009. His academic background provides a strong foundation for his work in computer science, particularly in parallel computing and simulation technologies.

Background

Before joining Lawrence Livermore National Laboratory, Jim Leek worked as an Undergraduate Researcher at UC Berkeley for 11 months in 2003. This early experience in research laid the groundwork for his future contributions in the field of computer science, particularly in simulation and computational projects.

Achievements in Simulation Projects

Jim Leek has made notable contributions to various simulation initiatives. He developed a Parallel Discrete Events Simulator for the Space Situational Awareness Project, which focuses on satellite tracking simulation. Additionally, he has been involved in the Carbon Capture Simulation Initiative, utilizing programming technologies such as C#, COM, WPF, Python, and Matlab. His participation in the Coop Project for Multiscale parallel computation further highlights his expertise in advanced computational methods.

Engagement in Compiler Projects

Since 2016, Jim Leek has been engaged in the Rose Compiler project, which focuses on source code analysis and transformation. This project emphasizes his skills in software development and his commitment to advancing computational techniques within the field of computer science.

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