Students from the University of California, Merced worked with mentors at LLNL to identify drug compounds that could be used to treat COVID-19 during a two-week Data Science Challenge (DSC) that concluded on June 6. For the first time in the DSC series since the COVID-19 pandemic began in 2020, Lab mentors visited the college campus to provide in-person guidance for five teams of UC Merced students. The students numbered 23 in all, including recent graduates, undergrads and Ph.D. candidates in computer science, engineering, mathematics and biology, with doctoral students serving as team leads. The teams worked together and with Lab computer scientists both on-campus and online on real-world drug discovery problems, using machine learning and other advanced tools to find small molecule inhibitors of SARS-COV-2, the virus that causes COVID-19. Read more at LLNL News.