Lab Partnering Service Discovery
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Dr. Meng Yue is the principle investigator of multiple projects funded by different offices in DOE. He led and is leading development of a number of grid analytical methods and tools for probabilistic contingency analysis, probabilistic sizing and siting of ESS, dynamic stability assessment, data driven damage forecasting using high resolution weather and outage data, impact assessment, detection, and mitigation of cyberattacks on essential data for load forecasting. In addition, he developed a Matlab-based software EPTOOL incorporating solar generation and battery energy storage system (BESS) dynamic models for analyzing impact of cloud-transient on solar output and the grid and probabilistic sizing of BESS. He has authored more than 80 journal and conference publications and technical reports primarily in power grid areas, as well as other topics such as nuclear energy system PRA, quantitative proliferation risk analysis, and robotics and control.
Dr. Agarwal's research focuses on scientific tools that enable sharing of scientific experiments, advanced networking infrastructure to support sharing of scientific data, data analysis support infrastructure for eco-science, and cybersecurity infrastructure to secure collaborative environments. Dr. Agarwal is the coordinator for ML4Sci, the Lab-wide machine learning initiative. Dr. Agarwal is a Senior Fellow at the Berkeley Institute for Data Science and an Inria International Chair. Dr. Agarwal also leads teams developing data server infrastructure to significantly enhance data browsing and analysis capabilities and enable eco-science synthesis at the watershed-scale to understand hydrologic and conservation questions and at the global-scale to understand carbon flux. Some of the projects Dr. Agarwal is working on include: Enviromental Systems Science Digital Infrastructure for a Virtual Ecosystem (ESS-DIVE), Watershed Function SFA, AmeriFlux Management Project, FLUXNET, NGEE Tropics, and International Soil Carbon Network. Dr. Agarwal received her Ph.D. in electrical and computer engineering from University of California, Santa Barbara and a B.S. in Mechanical Engineering from Purdue University.
Nugent is the Department Head for Computational Science and the Division Deputy for Scientific Engagement in the Computational Research Division. Nugent attended Bowdoin College and received his M.S. and Ph.D. in physics with a concentration in astronomy from the University of Oklahoma. He joined LBNL in 1996 as a postdoctoral fellow working with Saul Perlmutter on the measurement of the accelerating universe with Type Ia Supernova, for which Dr. Perlmutter received the Nobel Prize in Physics in 2011. In 2008, he co-founded the Computational Cosmology Center and became their first Group Leader. He was promoted to Senior Staff Scientist at LBNL in 2010 and the same year joined the faculty in the Astronomy Department at UC Berkeley.
Nugent is an author on over 300 refereed publications and has received numerous awards in his career including LBNL's Director’s Award for Exceptional Scientific Achievement and NERSC's Award for Innovative Use of High-Performance Computing in 2013, SuperComputing's 2009 Storage Challenge Award, the 2007 Gruber Prize in Cosmology and the 2015 Breakthrough Prize in Physics. Nugent has presented his work as a participant on PBS News Hour, NASA's Space Science Update program, CNN, NOVA, NPR, and the BBC. His work has been featured in Time Magazine, Newsweek, Science, and Nature.
Principal Project Specialist at the Argonne National Laboratory and a Senior Scientist in Department of Computer Science at University of Chicago Consortium for Advanced Science and Engineering. He is a senior member of IEEE society and a member of Chicago Quantum Exchange. His research involves development of quantum computing algorithms, error correction/mitigation techniques, and numerical simulator of quantum systems using high-performance computing on next-generation high-performance supercomputers. The recent projects include development of quantum chemistry and combinatorial optimization quantum algorithms for NISQ quantum computers.
Dr. Alexeev received his PhD in Physical Chemistry from Iowa State University while a graduate student in Mark Gordon’s quantum chemistry group. After graduation, Dr. Alexeev became a postdoctoral fellow at Pacific Northwest National Laboratory and worked in the NWChem group led by Dr. Theresa Windus; later, he joined the Nobel Prize winner Dr. Martin Karplus’ group at Harvard University and Université de Strasbourg.
- Quantum Algorithms
- Quantum Chemistry Algorithms
- Quantum Combinatorial Optimization Algorithms
- Classical and Quantum Machine Learning
- Quantum Simulators
- High Performance Computing and Parallel Computing
Dr. Jens Birkholzer is a Senior Scientist at the Lawrence Berkeley National Laboratory (LBNL, Berkeley Lab). As an internationally recognized expert in subsurface energy applications and environmental impact assessment, he currently serves as the Director for the Energy Geosciences Division (EGD) in the Earth and Environmental Sciences Area (EESA). With staff of about 200, EGD has a significant research portfolio in fundamental and environmental geosciences, and subsurface energy resources. Dr. Birkholzer received his Ph.D. in water resources, hydrology, and soil science from Aachen University of Technology in Germany in 1994. He joined LBNL in 1994, left for a management position in his native Germany in 1999, and eventually returned to LBNL in 2001. He has over 400 scientific publications, more than 140 of which are in peer-reviewed journals, in addition to numerous research reports. He serves on the Editorial Board of the International Journal of Greenhouse Gas Control (IJGGC) and is also on the Board of Editorial Policy Advisors for the Journal of Geomechanics for Energy and Environment (GETE). Dr. Birkholzer leads the international DECOVALEX Project as its Chairman, is a Fellow of the Geological Society of America, and a Senior Fellow of the California Council on Science and Technology.
Areas of expertise: subsurface energy, induced seismicity, geologic carbon sequestration