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Dr. David Stracuzzi is a Principal Member of Technical Staff at Sandia National Laboratories and has been studying machine learning and artificial intelligence for 20 years. He currently leads several projects that apply data-driven modeling and uncertainty analysis methods to tasks related to remote sensing data, pattern-of-life data, geophysical data, and data related to physics-based simulations. Prior to joining Sandia in 2010, Dr. Stracuzzi was a member of the research faculty at Arizona State University working on computational cognitive architectures for developing intelligent agents.
Tim Draelos has been at Sandia for over 32 years and received his Ph.D. at UNM in 1998, focusing on constructive neural networks. He has spent the last ten years conducting deep learning R&D, including work on seismic signal detection, phase identification, and event discrimination. He chaired special sessions on Machine Learning in Seismology at the 2016 and 2017 Seismological Society of America annual meetings and 2017 American Geophysical Union fall meeting. He has taught classes on machine and deep learning and was the founder and general chair of the 1st three Sandia Machine Learning and Deep Learning Workshops, starting in 2017. He has published papers in the Bulletin of the Seismological Society of America, Seismological Research Letters, and various machine learning conferences.
Tuan Ho is a Senior Member of the Technical Staff in the Geochemistry Department at Sandia National Laboratories. He earned his Bachelor of Engineering from Ho Chi Minh City University of Technology, Vietnam and his PhD from University College London, UK. His research interests include molecular interaction/properties in natural/engineering nanoporous materials related to subsurface applications: shale gas production, nuclear waste disposal, carbon dioxide capture and geological storage.
Matthew Marinella is a Principal Member of the Technical Staff with Sandia National Labs. He is Principal Investigator for Sandia’s Nonvolatile Memory Program and leads research projects on neuromorphic, radiation hard, and energy efficient computing. Dr. Marinella chairs the Emerging Memory Devices Section for the IRDS Roadmap Beyond CMOS Chapter, serves on various technical program committees, and is a Senior Member of the IEEE. He received a PhD in electrical engineering from Arizona State University under Dieter K. Schroder in 2008.
Dr. Kiran Lakkaraju is a Senior Member of the Technical Staff at Sandia National Laboratories, California in the Systems Research & Analysis III group. Kiran’s research has been marked by extensive interdisciplinary efforts that bring together the social and computational sciences. Kiran has been investigating how games, including Massively Multiplayer Online Games and wargames can be used as a means to systematically and quantitatively study conflict escalation and global strategic stability. Kiran is a member of the Project on Nuclear Gaming which has developed one of the first experimental wargames, SIGNAL. Kiran has a background in artificial intelligence, multi-agent systems and computational social science. He holds a M.S. and Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign.
Emily Donahue is a member of the technical staff at Sandia. She applies state-of-the-art machine learning innovations to novel applications for national security. She performs research in unsupervised learning, anomaly detection, and data-driven code acceleration. Emily earned her Master of Engineering at Cornell University with a focus in computer vision. While away from her computer, she enjoys landscape painting and rock climbing.
Dr. Susan Rempe is a Distinguished Member of the Technical Staff at Sandia National Labs in Albuquerque, New Mexico. She also holds Adjunct and Research Professor positions in Biology and Chemical and Biological Engineering at the University of New Mexico. Her current work focuses on theoretical studies and molecular simulations of solutions, polymers, and biomolecules. In addition to expanding our basic science understanding, insights from those studies inform synthesis of new materials for water purification, energy storage, gas (CO2) separations, new molecules for cancer treatment, and antimicrobials.
Dr. Nancy Brodsky is the Manager of the Geochemistry Department at Sandia National Laboratories and Sandia’s lead for the Fossil Energy Clean Coal and Carbon Management subprogram. She received her PhD in Geophysics from the University of Colorado, and worked for industry (RE/SPEC Inc., Rapid City SD) as a project lead and geomechanics laboratory manager, primarily supporting national nuclear waste isolation programs. She joined Sandia National Laboratories in 1995 to support the Waste Isolation Pilot Plan (WIPP), Yucca Mountain, and other geoscience programs. In 2003 she joined the National Infrastructure Simulation and Analysis Center (NISAC), a program sponsored by the Department of Homeland Security. She worked with the Infrastructure Complexity R&D Group and the NISAC Fast Analysis and Simulation Team (FAST), serving as the Sandia lead for FAST and as the Sandia NISAC Deputy Project Lead. She has extensive experience working in industry and in government performing and supervising technical work in regulatory environments such as the Yucca Mountain and Waste Isolation Pilot Plant projects, as well as work for the Food and Drug Administration. She was part of a team recognized by the U.S. National Committee for Rock Mechanics (under the auspices of the National Research Council, National Academy of Sciences) with an Applied Research Award for Significant Original Contribution (1999). In 2017 she became the manager of the geochemistry department.
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