Topic: Careers

Computational Scientist Ramesh Pankajakshan came to LLNL in 2016 directly from the University of Tennessee at Chattanooga. But unlike most recent hires from universities, he switched from research professor to professional researcher.

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With nearly 100 publications, CASC researcher Jayaraman “Jay” Thiagarajan explores the possibilities of artificial intelligence and machine learning technologies.

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Computer scientist Greg Becker contributes to HPC research and development projects for LLNL’s Livermore Computing division.

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Rushil Anirudh describes the machine learning field as undergoing a “gold rush.”

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Kirk Sylvester, security training coordinator with LLNL’s Global Security Computing Applications Division, is a self-proclaimed “tech geek.”

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LLNL has named Will Pazner as the third Sidney Fernbach Postdoctoral Fellow in the Computing Sciences.

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Marisa Torres, software developer with LLNL’s Global Security Computing Applications Division, combines her love of biology with coding.

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When computer scientist Gordon Lau arrived at Lawrence Livermore more than 20 years ago, he was a contractor assigned to a laser isotope separation project.

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The NIF Computing team plays a key role in this smoothly running facility, and computer scientist Joshua Senecal supports multiple operational areas.

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“If applications don’t read and write files in an efficient manner,” system software developer Elsa Gonsiorowski warns, “entire systems can crash.”

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At just 5 years old, Marisol Gamboa, the oldest of six siblings to Mexican immigrants, decided she was definitely going to college.

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Juan Ramos discovered a professional calling in computer networking, security, and information technology while in the Marines.

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Tammy Dahlgren has worked primarily in software development and research, as well as on efforts ranging from systems and middleware to applications development and software quality assurance. “I like challenges, trying different things, and the opportunity to make a positive impact,” she says.

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CASC researcher Carol Woodward consults on a diverse array of projects at the Laboratory and beyond. “It’s nice because it means I can work at the same place and not be stuck just doing one thing,” she says.

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Julia Ramirez helps automate and streamline LLNL processes for preparing reports and responding to audits.

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Working on world-class supercomputers at a U.S. national laboratory was not what Edgar Leon, a native of Mexico, envisioned when he began preparing for university.

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Peter Robinson develops major infrastructure components and code development processes for ALE3D, a numerical simulation tool.

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Greg Lee helps develop tools designed to boost performance and productivity of Livermore scientists.

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Jeene Villanueva develops enterprise modeling tools that help DOE decision makers gain insight into the challenging problems faced by the U.S. nuclear weapons complex.

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Olga Pearce studies how to detect and correct load imbalance in high performance computing applications.

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Brian Gunney became fascinated with the field of computational fluid dynamics because he thought it could be critical in solving many problems he considered unsolvable.

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Todd Gamblin leads the PAVE project, which develops performance data visualization techniques that are more intuitive for application scientists.

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Computer scientist Maya Gokhale appreciates the unpredictability and rapid pace of change in her chosen field. “You never know where computing is going to go, and that’s what’s exciting about it,” she says.

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Working extensively with open-source software such as Lustre and engaging with the broader open-source community is what computer scientist Chris Morrone enjoys most about his job, and it is one of the features that attracted him to LLNL in the first place.

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Kathryn Mohror develops tools that give researchers the information they need to tune their programs and maximize results. After all, she says, “It’s all about getting the answers more quickly.”

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