The Council consults on LLNL’s overall data science strategy and helps to execute DSI activities.
Brian leads LLNL's Analytics for Advanced Manufacturing group. He has worked on a variety of machine learning projects such as optimizing the production of carbon capture technology, quality detection of metal additive manufacturing, and speeding up the time to deployment in the advanced manufacturing development cycle.
Cindy leads the Intelligent Detection, Exploitation, and Analysis Group in LLNL’s Global Security Computing Applications Division, where her research interests include using machine learning for automatic target recognition and detection in unconventional types of imagery. Cindy works collaboratively to develop, implement, and promote LLNL’s strategic vision in data science, both internally and externally.
Peer-Timo holds a shared appointment at the Center for Applied Scientific Computing and the University of Utah. His research interests include large-scale machine learning, data analysis, medical image analysis, topology, and visualization.
Goran works in LLNL’s Computational Engineering Division. As director of the Data Science Summer Institute from 2018 to 2022, Goran promotes the Council’s education and workforce initiatives.
Dan leads the Machine Intelligence Group in LLNL’s Center for Applied Scientific Computing. His research focuses on Bayesian inference, causal inference, experimental design, statistical computing, and probabilistic programming. Dan promotes computing and data initiatives on behalf of the Council.
Michael leads a team within LLNL's Physics Division in science exploitation of the Large Synoptic Survey Telescope (LSST) for studying dark energy, dark matter, and the solar system. He serves as PI on internal and external projects in the areas of data analytics, computation, and sensor development.
Michael served as DSI Director from 2018 to 2023. He is the PI for several internal and external projects related to overhead imagery, machine learning, data compression, and system development. He also serves as Associate Program Leader for the Collection Systems Innovation program in Global Security.
Ana is deputy associate program director for the Weapon Simulation and Computing Computational Physics program. Her expertise in uncertainty quantification, applied statistics, and machine learning support LLNL’s Weapons Complex and Integration program. Ana promotes sound statistical practices across LLNL programs.