Since joining LLNL in 2000, Ghaleb Abdulla has embraced projects that depend on teamwork and data sharing. His tenure includes establishing partnerships with universities seeking LLNL’s expertise in HPC and large-scale data analysis. He supported approximate queries over large-scale simulation datasets for the AQSim project and helped design a multi-petabyte database for the Large Synoptic Survey Telescope. Abdulla used machine learning (ML) to inspect and predict optics damage at the National Ignition Facility, and leveraged data management and analytics to enhance HPC energy efficiency. Recently, he led a Cancer Registry of Norway project developing personalized prevention and treatment strategies through pattern recognition, ML, and time-series statistical analysis of cervical cancer screening data. Today, Abdulla is co-PI of the Earth System Grid Federation—an international collaboration that manages a global climate database for 25,000 users on 6 continents. “The ability to move between different science domains and work on diverse data science challenges makes LLNL a great place to pursue a career in data science,” he says. Abdulla holds a PhD in computer science from Virginia Tech.