Bronis De Supinski

Bronis De Supinski

Chief Technology Officer, Livermore Computing @ Lawrence Livermore National Laboratory

About Bronis De Supinski

Bronis De Supinski serves as the Chief Technology Officer of Livermore Computing at Lawrence Livermore National Laboratory, a position he has held since 2012. He has extensive experience in various leadership roles within the laboratory, contributing to application development and data analysis.

Work at Lawrence Livermore National Laboratory

Bronis De Supinski has held multiple positions at Lawrence Livermore National Laboratory (LLNL) since 2005. He currently serves as the Chief Technology Officer for Livermore Computing, a role he has occupied since 2012. Prior to this, he was the Application Development Environment and Performance Team Leader from 2005 to 2012. He also held the position of Computer Science Group Leader for a brief period from 2008 to 2009, and served as the Data Analysis Group Leader from 2005 to 2008.

Education and Expertise

Bronis De Supinski earned a Doctor of Philosophy (Ph.D.) in Computer Science from the University of Virginia, where he studied from 1992 to 1998. He also holds a Bachelor of Arts (B.A.) in Mathematics from the University of Chicago, which he completed from 1982 to 1987. His educational background provides a strong foundation for his work in computational science and technology.

Background

Bronis De Supinski has a long-standing career in computational science, particularly at Lawrence Livermore National Laboratory. His tenure at LLNL spans over 18 years, during which he has progressed through various leadership roles. His experience encompasses both application development and performance optimization within high-performance computing environments.

Leadership Roles at Lawrence Livermore National Laboratory

Throughout his career at Lawrence Livermore National Laboratory, Bronis De Supinski has taken on significant leadership roles. He has led teams focused on application development and performance, as well as data analysis. His leadership in these areas has contributed to advancements in computational capabilities at LLNL.

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