Justin La Pre, Ph.D.

Justin La Pre, Ph.D.

Software Engineer @ Sandia National Labs

About Justin La Pre, Ph.D.

Justin La Pre, Ph.D., is a Software Engineer at Sandia National Laboratories with extensive experience in cloud engineering, distributed computing, and machine learning.

Current Position at Sandia National Laboratories

Justin La Pre, Ph.D., currently holds the position of Software Engineer at Sandia National Laboratories. His tenure at the lab started in 2022, and he is based in Livermore, California. This role involves developing and maintaining high-performance computing software, collaborating on research initiatives, and supporting national security projects.

Previous Role at Platform.sh

Before joining Sandia National Laboratories, Justin La Pre worked at Platform.sh as a Cloud Engineer from 2021 to 2022. Based in Paris, Île-de-France, France, his responsibilities included managing cloud infrastructure, optimizing deployment workflows, and enhancing the overall performance of cloud services.

Tenure at Lucd

Justin La Pre spent a significant portion of his career at Lucd, where he held multiple roles. From 2018 to 2020, he served as Director of Distributed Computing, overseeing the development and implementation of distributed systems. In addition, he was a Machine Learning Architect at Lucd in 2018 for 7 months, working on advanced machine learning models and algorithms.

Academic Roles at Rensselaer Polytechnic Institute

Justin La Pre has had an extensive academic career at Rensselaer Polytechnic Institute. He served as a Lecturer in Computer Science from 2016 to 2018, where he was responsible for teaching undergraduate and graduate courses. Prior to that, he was a Computer Scientist at the institute from 2014 to 2015.

Educational Background

Justin La Pre holds multiple degrees in Computer Science from Rensselaer Polytechnic Institute. He earned his Ph.D. in Computer Science in 2015, following his M.S. in 2005. He completed his undergraduate studies with a Bachelor of Science degree in Computer Science in 2002. His academic background provides a solid foundation for his professional roles in software engineering and cloud computing.

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