In this episode (32:00), LLNL's Jeff Hittinger talks about scientific success, leadership, and the tricks he’s cultivated for communicating science to broader audiences through the Livermore Ambassador Lecture series.
Topic: Outreach
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.
The Data Science Institute's seminar series has transitioned to a virtual format, and a playlist of recently recorded seminars is available on the Livermore Lab Events YouTube channel.
The Department of Energy recently published a blog post celebrating Asian Pacific American Heritage Month, featuring LLNL Computing employee Jeene Villanueva.
In a talk recorded for the 2020 LLNL Computing Virtual Expo, Computing principal deputy associate director and ECP deputy director Lori Diachin describes the ECP’s goals and the Laboratory's role.
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.
Coinciding with International Women’s Day on March 8, LLNL’s 4th Women in Data Science (WiDS) regional event brought women together to discuss successes, opportunities and challenges of being female in a mostly male field.
Jeene Villanueva, LLNL computer scientist and group leader, represented the Lab at the 2021 Lab Manager Diversity Digital Summit, "Building Better Labs: Diversity, Equity and Inclusion."
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.
Rachael Lemos is a software developer in Computing’s Applications, Simulations, & Quality Division, or ASQ. She’s a great example of the Lab’s student success, as she was a summer intern before landing a full-time job.
With nearly 100 publications, CASC researcher Jayaraman “Jay” Thiagarajan explores the possibilities of artificial intelligence and machine learning technologies.
Computer scientist Greg Becker contributes to HPC research and development projects for LLNL’s Livermore Computing division.
Marisa Torres, software developer with LLNL’s Global Security Computing Applications Division, combines her love of biology with coding.
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.
The NIF Computing team plays a key role in this smoothly running facility, and computer scientist Joshua Senecal supports multiple operational areas.
At just 5 years old, Marisol Gamboa, the oldest of six siblings to Mexican immigrants, decided she was definitely going to college.
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.
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.
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.
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.