Lab Partnering Service Discovery
Use the LPS faceted search filters, or search by keywords, to narrow your results.
Professor of Chemistry, received his B.S. in 1997 from Pennsylvania State University, where he worked in the group of Prof. Ayusman Sen on palladium-catalyzed co- and terpolymerizations. He earned his Ph.D. from the University of California, Berkeley in 2003 under the guidance of Prof. T. Don Tilley, primarily focused on the development of new catalytic C–H bond functionalizations. Following postdoctoral work at the Swiss Federal Institute of Technology (ETH Zürich) with Antonio Togni investigating catalytic asymmetric hydroamination and hydrophosphination, Aaron joined the chemistry faculty at Iowa State University in 2005. He was promoted to associate professor in 2011, and to professor in 2016.
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.
Mr. Balsmeier has over 15 years of experience in the nuclear industry including reactor core manufacturing, design engineering, project engineering/management, and nuclear construction. He is currently the Nuclear Remote Systems Department Manager at the Materials and Fuels Complex (MFC). Mr. Balsmeier began his career in 2003 as an Officer in the United States Navy. Mr. Balsmeier was assigned as an engineer at Naval Reactor Headquarters, NAVSEA 08, supporting reactor core manufacturing and development. After his Naval service, Mr. Balsmeier started as a project and design engineer for the Advanced Test Reactor (ATR) at Idaho National Laboratory (INL) in 2008. He focused on plant modifications to support experiments while at ATR. Mr. Balsmeier joined Westinghouse Electric Company in 2011 as a project support engineer for construction of the lead AP1000 plant, Sanmen 1 in Zhejiang, China. While at Sanmen, he focused on reactor plant piping installation and construction of the containment vessel and shield building. In 2014, Mr Balsmeier returned to INL working as an engineer at MFC. While at MFC, he participated in numerous modifications of the Hot Fuels Examination Facility, facility modifications and buildout of research capabilities in the Irradiated Materials Characterization Laboratory, and most recently as an engineering manager. Mr. Balsmeier holds a BS degree in Aerospace Engineering from the University of Kansas and a MS in Engineering Science from the Naval Postgraduate School. Mr. Balsmeier is a licensed Professional Engineer.
Dr. Robert O’Brien is an internationally recognized Principal Nuclear Scientist/Engineer who has focused his career on the development of advanced materials and energy systems in addition to the manufacturing processes to produce materials for harsh environments Dr. O’Brien received a PhD in the nuclear engineering and physics of radioisotope and nuclear power / propulsion systems for space exploration from the University of Leicester in the United Kingdom. Under his PhD research project, Dr. O’Brien proposed the use of americium-based radioisotope thermoelectric generators (RTGs) and developed Spark Plasma Sintering (SPS) Electric Field Assisted Sintering Techniques (EFAST) for the encapsulation of nuclear materials for both RTGs and nuclear reactor fuels. Dr. O’Brien also received a Masters degree in Physics with Space Science and technology from the University of Leicester. Dr. O’Brien’s research and programmatic management experience in advanced manufacturing of harsh environment materials, space systems and instrumentation design/development, defense systems, nuclear fuel performance, nuclear instrumentation, nuclear safety, irradiation testing, radioisotope source design, and nuclear power system design and development.
Dr. O’Brien currently serves as the Director of Advanced Manufacturing for the Department of Energy’s Idaho National Laboratory (INL). Under this role, Dr O’Brien’s leadership extends across all of the Directorates of the laboratory; Energy & Environment Science & Technology, Nuclear Science & Technology, National & Homeland Security, Materials & Fuels Complex, Advanced Test Reactor, and Industry Engagement.
John W. Freiderich is an applied technology scientist at the Y-12 National Security Complex. He specializes in the advanced processing of non-radiological and nuclear materials. His scientific areas of expertise include electrochemistry, ionic liquids/molten salts, aqueous solution chemistry, and various spectroscopic methods. Freiderich has developed and patented technologies related to the improvement of consumer-relevant materials and processes during his tenure. These technologies include rare earth extractive metallurgy, mineral electrowinning, high-throughput molten salt reactor material production, advanced sensor development, and electroplating methods. He holds a Ph.D. in radiochemistry from Washington State University and a B.S. in chemistry from Minnesota State University.
He is a statistical scientist in the Environmental Genomics and Systems Biology division within Berkeley Lab’s Biosciences Area. He specializes in the development of novel machine algorithms, usually for the biological and environmental sciences at Berkeley Lab. His group develops “third-wave” learning algorithms that combine the interpretability and reliability of classical statistics with the predictive performance of deep learning. They specialize in designing learning paradigms for complex, high-dimensional systems that enable accurate uncertainty quantification, model discovery, feature selection, and inference. Dr. Brown's expertise include statistics, machine learning, deep learning, and artificial intelligence.