Scott has fifteen years of management experience at Sandia and is currently Director of the Center for Computing Research. Prior to that, Scott was Senior Manager of the Computational Science & Mathematics Group after having managed three departments within Computing Research: Computational Mathematics, Scalable Algorithms, and Numerical Analysis and Applications. Scott currently serves as the Director and Program Executive for both the NNSA Advanced Simulation and Computing and the DOE Office of Science Advanced Scientific Computing Research programs at Sandia while also serving as co-Director for Sandia’s Computing and Information Sciences Research Foundation. He has served as primary point of contact for Sandia's ASCR research programs, managed collaboration programs in computer science, as well as led multiple projects within ASC and LDRD. Scott has focused on building greater ties to major US industry partners as well as new opportunities for computing in energy and climate applications and well as opportunities in advanced computing including quantum, neural-inspired, and other non-conventional computing concepts. In 2015, Scott helped start Sandia's Advanced Technology Development and Mitigation (ATDM) program within ASC that is developing new codes for Sandia's nuclear weapons mission that combine advance analysis capabilities with modern programming models to take advantage of next generation supercomputers.

Scott's Ph.D. and M.S. are in Mechanical Engineering from Stanford University and his B.S. is in Aerospace engineering from the University of Kansas. He started his research career as an Assistant Professor at Rice University and joined Sandia in 2003 as a staff member in what is now the Optimization and Uncertainty Quantification department. Scott's personal research interests are in the use of large-scale computational modeling for solving inverse problems, optimal design, and optimal control of engineering systems with an emphasis on fluid transport phenomena.

George Karniadakis received his S.M. (1984) and Ph.D. (1987) from Massachusetts Institute of Technology. He was appointed Lecturer in the Department of Mechanical Engineering at MIT in 1987 and subsequently he joined the Center for Turbulence Research at Stanford / Nasa Ames. He joined Princeton University as Assistant Professor in the Department of Mechanical and Aerospace Engineering and as Associate Faculty in the Program of Applied and Computational Mathematics. He was a Visiting Professor at Caltech (1993) in the Aeronautics Department. He joined Brown University as Associate Professor of Applied Mathematics in the Center for Fluid Mechanics on January 1, 1994. He became a full professor on July 1, 1996. He has been a Visiting Professor and Senior Lecturer of Ocean/Mechanical Engineering at MIT since September 1, 2000. He was Visiting Professor at Peking University (Fall 2007 & 2013). He has a joing appointment with PNNL since 2013. He is a Fellow of the Society for Industrial and Applied Mathematics (SIAM, 2010-), Fellow of the American Physical Society (APS, 2004-), Fellow of the American Society of Mechanical Engineers (ASME, 2003-) and Associate Fellow of the American Institute of Aeronautics and Astronautics (AIAA, 2006-). He received the Ralf E Kleinman award from SIAM (2015), the (inaugural) J. Tinsley Oden Medal (2013), and the CFD award (2007) by the US Association in Computational Mechanics.

Dr. V. Balaji is affiliated with Princeton University's [Cooperative Institute on Climate Sciences](https://www.princeton.edu/cics/). He has headed the [Modeling Systems Group](https://www.gfdl.noaa.gov/modeling-systems/) at NOAA's Geophysical Fluid Dynamics Laboratory since 2003, and is Associate Faculty at the Princeton Institute for Computational Science and Engineering ([PICSciE](https://www.princeton.edu/researchcomputing/about/picscie/)). With a background in physics and climate science, he has also become an expert in the area of parallel computing and scientific infrastructure. He is co-chair of the [WGCM](https://www.wcrp-climate.org/wgcm-overview) Infrastructure Panel ([WIP](https://www.earthsystemcog.org/projects/wip/)), tasked with developing the scientific requirements for the global data infrastructure underlying the Climate Model Intercomparison Project (CMIP), a pillar of the IPCC Assessment Reports of the state of the Earth's climate. He was an author on the 2012 National Academies Report [A National Strategy for Advancing Climate Modeling](https://goo.gl/PwmCJp) and the 2016 National Academies Report, [From Maps to Models: Augmenting the Nation's Geospatial Intelligence Capabilities](https://goo.gl/GEWZXO). He serves on the Scientific Advisory Board of the Max-Planck Institute for Meteorology in Hamburg, the Scientific Advisory Panel for the National Center for Atmospheric Research (NCAR), as well as for DOE's Accelerated Climate Modeling for Energy (ACME) Project, and chairs the Advisory Panel for NCAR's Computing and Information Systems Lab (CISL). He is a sought-after speaker and lecturer and is committed to provide training in the use of climate models in developing nations, leading workshops for advanced students and researchers in South Africa and India.

Karen E. Willcox is Director of the Oden Institute for Computational Engineering and Sciences and a Professor of Aerospace Engineering and Engineering Mechanics, at the University of Texas at Austin. She holds the W. A. “Tex” Moncrief, Jr. Chair in Simulation-Based Engineering and Sciences and the Peter O'Donnell, Jr. Centennial Chair in Computing Systems. Prior to joining the Oden Institute in 2018, she spent 17 years as a professor at the Massachusetts Institute of Technology, where she served as Professor of Aeronautics and Astronautics, the founding Co-Director of the MIT Center for Computational Engineering, and the Associate Head of the MIT Department of Aeronautics and Astronautics.

Willcox holds a Bachelor of Engineering Degree from the University of Auckland, New Zealand, and masters and PhD degrees from MIT. Prior to becoming a professor at MIT, she worked at Boeing Phantom Works with the Blended-Wing-Body aircraft design group. Her research has produced scalable computational methods for design of next-generation engineered systems, with a particular focus on model reduction as a way to learn principled approximations from data and on multi-fidelity formulations to leverage multiple sources of uncertain information. These methods are widely applied in aircraft system design and environmental policy decision-making. Willcox is currently Co-director of the Department of Energy AEOLUS Multifaceted Mathematics Capability Center on Advances in Experimental Design, Optimal Control, and Learning for Uncertain Complex Systems. She leads an Air Force MURI on optimal design of multi-physics systems and an Air Force Data-Driven Dynamic Applications Systems project team that is developing a self-aware UAV. She has co-authored more than 90 papers in peer-reviewed journals and advised more than 50 graduate students, including 17 PhD students.

In addition to her research pursuits, Willcox is active in education innovation. She served as co-Chair of the MIT Online Education Policy Initiative, co-Chair of the 2013-2014 Institute wide Task Force on the Future of MIT Education, and Chair of the MIT OpenCourseWare Faculty Advisory Board. She is a recognized innovator in the U.S. education landscape, where she is a 2015 recipient of the First in the World Department of Education grant. She continues to direct the MIT Mapping Lab, which develops technologies for the future of digital education.

Willcox is Fellow of SIAM, Fellow of AIAA, and member of ASEE and ASME. She has served in multiple leadership positions within AIAA and SIAM, including leadership roles in the SIAM Activity Group on Computational Science and Engineering and in the AIAA Multidisciplinary Design Optimization Technical Committee. She is Section Editor of SIAM Journal on Scientific Computing and Associate Editor of AIAA Journal. She is a current member of the National Academies Board on Mathematical Sciences and Analytics, and has served on four National Academies studies. In 2017, she was awarded Member of the New Zealand Order of Merit (MNZM).

Choudhury is the Vice President of Research at ANSYS Inc. where he leads advanced technology and exploratory R&D projects.

Prior to taking this role, Choudhury was responsible for ANSYS Inc.'s product strategy and planning and corporate product management functions.

Choudhury obtained his Ph.D. in the area of Computational Fluid Dynamics and Heat Transfer from the University of Minnesota in 1987.

After his graduation, Choudhury held engineering and product management positions at Creare Inc. and Fluent Inc. where he was the Chief Technologist. He is a member of the ASME and the AIAA and has technical publications in journals, conference proceedings and trade magazines.