Topic: Careers

Since 2018, software developer Trevor Smith has been putting his education and computing skills to good use supporting the Lab's HPC environment. He helps develop, deploy, and manage systems software that enables effective and secure use of computing resources.

The latest issue of the Lab's Science & Technology Review magazine highlights Todd Gamblin among other EMCR Program awardees.

Kevin McLoughlin has always been fascinated by the intersection of computing and biology. His LLNL career encompasses award-winning microbial detection technology, a COVID-19 antiviral drug design pipeline, and work with the ATOM consortium.

UX designer Bianca Toledo helps make government applications more human-centric, user-friendly, and aesthetically pleasing. She joined the Lab in 2019 to find meaning in her work.

The American Indian Science and Engineering Society (AISES) Winds of Change magazine has named LLNL as one of the Top 50 STEM Workplaces in 2022. This marks the second consecutive year that LLNL has been honored as an organization setting the standard for indigenous STEM professionals.

As group leader and application developer in the Global Security Computing Applications Division, Jarom Nelson develops intrusion detection and access control software.

LLNL's DMTS awards program offers advancement for scientific leaders who choose the research track over the management ladder. Read more about computational mathematician Rob Falgout.

LLNL celebrated the 2022 Global Women in Data Science conference on March 7 with its 5th annual regional event, featuring workshops, mentoring sessions and a discussion with LLNL Director Kim Budil.

Computational mathematician Julian Andrej began using LLNL-developed, open-source software while in Germany. Now at Livermore, he lends his expertise to the Center for Applied Scientific Computing, developing code for next-generation computing hardware.

Registration is open until February 27 for LLNL's fifth annual WiDS event in conjunction with the worldwide Women in Data Science conference.

The prize recognizes "broad and distinguished contributions to the field of algorithms research and development for parallel scientific and engineering computing."

The Department of Energy's Office of Science interviewed LLNL computer scientist Peter Lindstrom about his work since receiving the 2011 Early Career Award.

The Oppenheimer Science and Energy Leadership Program has selected LLNL computer scientist Kathryn Mohror and materials scientist T. Yong Han as 2022 fellows.

For the fourth consecutive year, LLNL has been honored with a Glassdoor Employees’ Choice Award, recognizing the Best Places to Work in 2022.

As Computing’s fifth Fernbach Fellow, postdoctoral researcher Steven Roberts will develop, analyze, and implement new time integration methods.

Held virtually on July 15, our fifth annual Developer Day featured lightning talks, a technical deep dive, “quick takes” on remote-development resources, presentations about career paths, and a career development panel discussion.

More than 100 LLNL staff and students gathered virtually for the first session of a new career panel series inspired by the annual Women in Data Science conference and sponsored by the Data Science Institute.

Brian Gallagher works on applications of machine learning for a variety of science and national security questions. He’s also a group leader, student mentor, and the new director of LLNL’s Data Science Challenge.

Computer scientist Vanessa Sochat isn’t afraid to meet new experiences head on. With a Stanford PhD and a jump-right-in attitude, she joined LLNL to work on the BUILD project, Spack package manager, and other open-source initiatives.

Computing relies on engineers like Stephanie Brink to keep the legacy codes running smoothly. “You’re only as fast as your slowest processor or your slowest function,” says Brink, who works in CASC. By analyzing a legacy code’s performance, Brink and her team can reduce the amount of time it takes to run and allow for more critical science to be accomplished.

Nisha Mulakken is advancing COVID-19 R&D and mentoring the next generation. “The opportunities we are exposed to early in our careers can shape the limits we place on ourselves and our approaches to challenges we encounter throughout our careers,” she says.

Lawrence Livermore National Lab has named Stefanie Guenther as Computing’s fourth Sidney Fernbach Postdoctoral Fellow in the Computing Sciences. This highly competitive fellowship is named after LLNL’s former Director of Computation and is awarded to exceptional candidates who demonstrate the potential for significant achievements in computational mathematics, computer science, data science, or scientific computing.

Alyson Fox is a math geek. She has three degrees in the subject—including a Ph.D. in Applied Mathematics from the University of Colorado at Boulder—and her passion for solving complex challenges drives her work at LLNL’s Center for Applied Scientific Computing (CASC).

Rafael Rivera-Soto is passionate about artificial intelligence, deep learning, and machine learning technologies. He works in LLNL’s Global Security Computing Applications Division, also known as GSCAD.

The Lab is in many ways similar to a small city, and people like Louella Panaga help keep it operational day to day, hour to hour, and minute to minute.