Topic: Students

With a history of student participation and committee service, LLNL computer scientist Kathleen Shoga chaired this year’s competition.

Computing’s newest internship program focuses on DevOps methodologies. The inaugural class of 2021 built a persistent data services provisioning application that will soon assist real Livermore Computing users.

The Center for Applied Scientific Computing and Data Science Institute welcomed a new academic partner to the 2021 Data Science Challenge program: the University of California Riverside campus. The intensive program has run for three years with UC Merced, and it tasks students with addressing a real-world scientific problem using data science techniques.

Each new season brings another hackathon, and Computing’s 2021 summer event took place on August 12–13.

LLNL and Purdue are partnering to speed up drug design using computational tools under the Accelerating Therapeutic Opportunities in Medicine project. LLNL researcher Jonathan Allen mentored students and two teaching assistants, introducing them to computationally driven drug discovery and designing predictive models for drug candidates.

Meeting virtually three times per week, 22 UC Merced students engaged with LLNL mentors and peers to address a real-world challenge problem, using machine learning to identify potentially hazardous asteroids that could pose an existential threat to humanity.

The first-ever virtual Girls Who Code – "Big" program (a collaboration between LLNL, the Livermore Lab Foundation, and the Livermore Valley Joint Unified School District) recently wrapped up.

At the 2020 LLNL Computing Virtual Expo, Marisa Torres described the Girls Who Code program’s activities, how it's closing the technology gender gap, and ways to get involved.

LLNL’s Computing Directorate heads to the 32nd annual Supercomputing Conference (SC20) held virtually on November 9–19. Although the format is different this year, we’re turning out in full force.

More than 150 girls participated in the San Joaquin Expanding Your Horizons (SJEYH) conference via Zoom last month. LLNL Computing staff were among the online speakers.

LLNL will provide significant computing resources to students and faculty from 9 universities that were newly selected for participation in the Predictive Science Academic Alliance Program (PSAAP).

This summer, the Computing Scholar Program welcomed 160 undergraduate and graduate students into virtual internships. The Lab’s open-source community was already primed for student participation.

Computing’s summer hackathon was held virtually on August 6–7 and featured presentations from teams who tested software technologies, expanded project features, or explored new ways of analyzing data.

In this year's Data Science Challenge with UC Merced, 21 students developed machine learning models capable of differentiating potentially explosive materials from other types of molecules.

This summer, LLNL will offer a remote program allowing students to carry out research projects by telecommuting, if their original project can be modified for online work.

The university and LLNL lay the groundwork for a direct pipeline between the two, opening a door to research collaborations as well as job and internship opportunities for students and alumni.

Computing staff participate in several education and outreach programs in the local community with support from a new LLNL funding program.

LLNL’s Data Science Institute hosted its second annual workshop with the University of California, emphasizing key challenges with machine learning and artificial intelligence in scientific research.

LLNL's hackathon allows employees and interns to make unique breakthroughs and work on projects they either haven’t had time for or have been of low priority in their day jobs.

Alan Noun, a computer science student at CSU East Bay and the recipient of the Livermore Lab Foundation's first full-year scholarship, is an intern at LLNL’s Data Science Summer Institute.

LLNL recently hosted its first-ever Data Science Challenge Workshop, a two-week crash course in what it’s like to work in data science, with students from UC Merced.

LLNL computer scientist Stephen Herbein (pictured at right, above) was a student volunteer during his first SC conference. Now he's on the planning committee.

For students interested in learning coding and computer technology, the Girls Who Code clubs in the Livermore middle and high schools are the place to be.

NIF Computing's Arsenia Rendon joined other LLNL scientists in hosting STEM (science, technology, engineering, and math) Day for more than 180 middle school students.