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Committee Member Biographical Information

KAREN E. WILLCOX, Chair, is the director of the Oden Institute for Computational Engineering and Sciences, an associate vice president for research, and a professor of aerospace engineering and engineering mechanics at The University of Texas (UT) at Austin. Dr. Willcox is also an external professor at the Santa Fe Institute. At UT, 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. Before joining the Oden Institute in 2018, Dr. Willcox spent 17 years as a professor at the Massachusetts Institute of Technology (MIT), where she served as the founding co-director of the MIT Center for Computational Engineering and the associate head of the MIT Department of Aeronautics and Astronautics. Prior to joining the MIT faculty, she worked at Boeing Phantom Works with the Blended-Wing-Body aircraft design group. Dr. Willcox is a fellow of the Society for Industrial and Applied Mathematics and a fellow of the American Institute of Aeronautics and Astronautics, and in 2017 she was appointed a member of the New Zealand Order of Merit for services to aerospace engineering and education. In 2022, she was elected to the National Academy of Engineering. Dr. Willcox is at the forefront of the development and application of computational methods for design, optimization, and control of next-generation engineered systems. Several of her active research projects and collaborations with industry are developing core mathematical and computational capabilities to achieve predictive digital twins at scale.

DEREK BINGHAM is a professor and chair of the Department of Statistics and Actuarial Science at Simon Fraser University. He received his PhD from the Department of Mathematics and Statistics at Simon Fraser University in

1999. After graduation, Dr. Bingham joined the Department of Statistics at the University of Michigan. He moved back to Simon Fraser in 2003 as the Canada Research Chair in Industrial Statistics. He has recently completed a 3-year term as the chair for the Natural Sciences and Engineering Research Council of Canada’s Evaluation Group for Mathematical and Statistical Sciences. The focus of Dr. Bingham’s current research is developing statistical methods for combining physical observations with large-scale computer simulators. This includes new methodology for Bayesian computer model calibration, emulation, uncertainty quantification, and experimental design. Dr. Bingham’s work is motivated by real-world applications. Recent collaborations have been with scientists at U.S. national laboratories (e.g., Los Alamos National Laboratory), Department of Energy–sponsored projects (Center for Exascale Radiation Transport), and Canadian Nuclear Laboratories.

CAROLINE CHUNG is the vice president and chief data officer and is an associate professor in radiation oncology and diagnostic imaging at the MD Anderson Cancer Center. Her clinical practice is focused on central nervous system malignancies, and her computational imaging laboratory has a research focus on quantitative imaging and computational modeling to detect and characterize tumors and toxicities of treatment to enable personalized cancer treatment. Internationally, Dr. Chung is actively involved in multidisciplinary efforts to improve the generation and utilization of high-quality, standardized imaging to facilitate quantitative imaging integration for clinical impact across multiple institutions, including as the vice chair of the Radiological Society of North America Quantitative Imaging Biomarkers Alliance and co-chair of the Quantitative Imaging for Assessment of Response in Oncology Committee of the International Commission on Radiation Units and Measurements. Beyond her clinical, research, and administrative roles, Dr. Chung enjoys serving as an active educator and mentor with a passion to support the growth of diversity, equity, and inclusion in science, technology, engineering, and mathematics, including in her role as the chair of Women in Cancer, a not-for-profit organization that is committed to advancing cancer care by encouraging the growth, leadership, and connectivity of current and future oncologists, trainees, and medical researchers. Her recent publications include work on building digital twins for clinical oncology.

JULIANNE CHUNG is an associate professor in the Department of Mathematics at Emory University. Prior to joining Emory in 2022, Dr. Chung was an associate professor in the Department of Mathematics and part of the Computational Modeling and Data Analytics Program at Virginia Tech. From 2011 to 2012, she was an assistant professor at The University of Texas at Arlington, and from 2009 to 2011 she was a National Science Foundation (NSF) Mathematical Sciences Postdoctoral Research Fellow at the University of Maryland, College Park. She received her PhD in 2009 in the Department of Math and Computer Science at

Emory University, where she was supported by a Department of Energy Computational Science Graduate Fellowship. Dr. Chung has received many prestigious awards, including the Frederick Howes Scholar in Computational Science award, an NSF CAREER award, and an Alexander von Humboldt Research Fellowship. Her research interests include numerical methods and software for computing solutions to large-scale inverse problems, such as those that arise in imaging applications.

CAROLINA CRUZ-NEIRA is a pioneer in the areas of virtual reality and interactive visualization, having created and deployed a variety of technologies that have become standard tools in industry, government, and academia. Dr. Cruz-Neira is known worldwide for being the creator of the CAVE virtual reality system. She has dedicated part of her career to transferring research results into daily use by spearheading several open-source initiatives to disseminate and grow virtual reality technologies and by leading entrepreneurial initiatives to commercialize research results. Dr. Cruz-Neira has more than 100 publications, including scientific articles, book chapters, magazine editorials, and others. She has been awarded more than $75 million in grants, contracts, and donations. She is also recognized for having founded and led very successful virtual reality research centers, including the Virtual Reality Applications Center at Iowa State University, the Louisiana Immersive Technologies Enterprise, and now the Emerging Analytics Center. Dr. Cruz-Neira has been named one of the top innovators in virtual reality and one of the top three greatest women visionaries in this field. BusinessWeek magazine identified her as a “rising research star” in the next generation of computer science pioneers; she has been inducted as a member of the National Academy of Engineering, is an Association for Computing Machinery Computer Pioneer, and received the IEEE Virtual Reality Technical Achievement Award and the Distinguished Career Award from the International Digital Media and Arts Society, among other national and international recognitions. Dr. Cruz-Neira has given numerous keynote addresses and has been the guest of several governments to advise on how virtual reality technology can help to give industries a competitive edge leading to regional economic growth. She has appeared on numerous national and international television shows and podcasts as an expert in her discipline, and several documentaries have been produced about her life and career. She has several ongoing collaborations in advisory and consulting capacities on the foundational role of virtual reality technologies with respect to digital twins.

CONRAD J. GRANT is the chief engineer for the Johns Hopkins University Applied Physics Laboratory (APL), the nation’s largest University Affiliated Research Center, performing research and development on behalf of the Department of Defense, the intelligence community, the National Aeronautics and Space Administration, and other federal agencies. He previously served for more than a

decade as the head of the APL Air and Missile Defense Sector, where he led 1,200 staff developing advanced air and missile defense systems for the U.S. Navy and the Missile Defense Agency. Mr. Grant has extensive experience in the application of systems engineering to the design, development, test and evaluation, and fielding of complex systems involving multisensor integration, command and control, human–machine interfaces, and guidance and control systems. Mr. Grant’s engineering leadership in APL prototype systems for the U.S. Navy is now evidenced by capabilities on board more than 100 cruisers, destroyers, and aircraft carriers of the U.S. Navy and its allies. He has served on national committees, including as a technical advisor on studies for the Naval Studies Board of the National Academies of Sciences, Engineering, and Medicine and as a member of the U.S. Strategic Command Senior Advisory Group. He is a member of the program committees for the Department of Electrical and Computer Engineering and the Engineering for Professionals Systems Engineering Program of the Johns Hopkins University Whiting School of Engineering. Mr. Grant earned a BS in physics from the University of Maryland, College Park, and an MS in applied physics and an MS in computer science from the Johns Hopkins University Whiting School of Engineering.

JAMES L. KINTER is the director of the Center for Ocean-Land-Atmosphere Studies (COLA) at George Mason University (GMU), where he oversees basic and applied climate research conducted by the center. Dr. Kinter’s research includes studies of atmospheric dynamics and predictability on intra-seasonal and longer time scales, particularly the prediction of Earth’s climate using numerical models of the coupled ocean–atmosphere–land system. Dr. Kinter is a tenured professor of climate dynamics in the Department of Atmospheric, Oceanic and Earth Sciences of the College of Science at GMU, where he has responsibilities for teaching climate predictability and climate change. After earning his doctorate in geophysical fluid dynamics at Princeton University in 1984, he served as a National Research Council Associate at the National Aeronautics and Space Administration Goddard Space Flight Center and as a faculty member of the University of Maryland prior to helping to create COLA. A fellow of the American Meteorological Society, Dr. Kinter has served on many national and international review panels for both scientific research programs and supercomputing programs for computational climate modeling. Dr. Kinter has served on three previous National Academies of Sciences, Engineering, and Medicine committees.

RUBY LEUNG is a Battelle Fellow at Pacific Northwest National Laboratory. Her research broadly cuts across multiple areas in modeling and analysis of the climate and water cycle, including orographic precipitation, monsoon climate, extreme events, land surface processes, land–atmosphere interactions, and aerosol–cloud interactions. Dr. Leung is the chief scientist of the Department of Energy’s (DOE’s) Energy Exascale Earth System Model, a major effort involving more

than 100 Earth and computational scientists and applied mathematicians to develop state-of-the-art capabilities for modeling human–Earth system processes on DOE’s next-generation, high-performance computers. She has organized several workshops sponsored by DOE, the National Science Foundation, the National Oceanic and Atmospheric Administration, and the National Aeronautics and Space Administration to define gaps and priorities for climate research. Dr. Leung is a member of the National Academies of Sciences, Engineering, and Medicine’s Board on Atmospheric Sciences and Climate and an editor of the American Meteorological Society’s (AMS’s) Journal of Hydrometeorology. She has published more than 450 papers in peer-reviewed journals. Dr. Leung is an elected member of the National Academy of Engineering and the Washington State Academy of Sciences. She is also a fellow of AMS, the American Association for the Advancement of Science, and the American Geophysical Union (AGU). She is the recipient of the AGU Global Environmental Change Bert Bolin Award and Lecture in 2019, the AGU Atmospheric Science Jacob Bjerknes Lecture in 2020, and the AMS Hydrologic Sciences Medal in 2022. Dr. Leung was awarded the DOE Distinguished Scientist Fellow in 2021. She received a BS in physics and statistics from the Chinese University of Hong Kong and an MS and a PhD in atmospheric sciences from Texas A&M University.

PARVIZ MOIN is the Franklin P. and Caroline M. Johnson Professor of Mechanical Engineering and the director of the Center for Turbulence Research at Stanford University. He was the founding director of the Institute for Computational and Mathematical Engineering and he directed the Department of Energy’s Accelerated Strategic Computing Initiative and Predictive Science Academic Alliance Program centers. Dr. Moin pioneered the use of direct numerical simulation and large eddy simulation techniques for the study of the physics and reduced-order modeling of multiphysics turbulent flows. His current research interests include predictive simulation of aerospace systems, hypersonic flows, multiphase flows, propulsion, numerical analysis for multiscale problems, and flow control. Dr. Moin is the co-editor of the Annual Review of Fluid Mechanics and the associate editor of the Journal of Computational Physics. Among his awards are the American Physical Society (APS) Fluid Dynamics Prize and American Institute of Aeronautics and Astronautics (AIAA) Fluid Dynamics Award. Dr. Moin is a member of the National Academy of Sciences, the National Academy of Engineering, and the Royal Spanish Academy of Engineering. He is a fellow of APS, AIAA, and the American Academy of Arts and Sciences. Dr. Moin received a PhD in mechanical engineering from Stanford University.

LUCILA OHNO-MACHADO is the deputy dean for biomedical informatics and leads the Section for Biomedical Informatics and Data Science at Yale School of Medicine. Previously, Dr. Ohno-Machado was the health sciences associate dean for informatics and technology, the founding chief of the Division of Biomedi-

cal Informatics in the Department of Medicine, and a distinguished professor of medicine at the University of California, San Diego (UCSD). She also was the founding chair of the UCSD Health Department of Biomedical Informatics and founding faculty of the UCSD Halicioğlu Data Science Institute in La Jolla, California. Dr. Ohno-Machado received her medical degree from the University of São Paulo, Brazil; her MBA from the Escola de Administração de São Paulo, Fundação Getúlio Vargas, Brazil; and her PhD in medical information sciences and computer science from Stanford University. She has led informatics centers that were funded by various National Institutes of Health initiatives and by agencies such as the Agency for Healthcare Research and Quality, the Patient-Centered Outcomes Research Institute, and the National Science Foundation. Dr. Ohno-Machado organized the first large-scale initiative to share clinical data across five University of California medical systems and later extended the initiative to various institutions in California and around the country. Prior to joining UCSD, Dr. Ohno-Machado was a distinguished chair in biomedical informatics at Brigham and Women’s Hospital and on the faculty at Harvard Medical School and at the Massachusetts Institute of Technology’s Health Sciences and Technology Division. She is an elected member of the National Academy of Medicine, the American Society for Clinical Investigation, the American Institute for Medical and Biological Engineering, the American College of Medical Informatics, and the International Academy of Health Sciences Informatics. Dr. Ohno-Machado is a recipient of the American Medical Informatics Association leadership award, as well as the William W. Stead Award for Thought Leadership in Informatics. She serves on several advisory boards for national and international agencies.

COLIN J. PARRIS has achieved significant academic and professional success while attending and leading some of the most prestigious academic and business institutions in the United States and internationally. His career has been centered on the development and enhancement of digital transformation across multiple industries (telecommunications, banking, retail, aviation, and energy) in billion-dollar companies, as well as advocating/evangelizing science, technology, engineering, and mathematics advancement across minority communities. As GE Digital’s chief technology officer, Dr. Parris leads teams that work to leverage technologies and capabilities across GE to accelerate business impact and create scale advantage for digital transformation. He also champions strategic innovations and identifies and evaluates new, breakthrough technologies and capabilities to accelerate innovative solutions to solve emerging customer problems. Dr. Parris created and leads the Digital Twin Initiative across GE. He previously held the position of the vice president of software and analytics research at GE Research in Niskayuna, New York. Prior to joining GE, Dr. Parris worked at IBM, where he was an executive for 16 years in roles that spanned research, software development, technology management, and profit and loss management. He was the vice president of system research at the IBM Thomas J. Watson Research Divi-

sion, vice president of software development for IBM’s largest system software development laboratory (more than 6,000 developers worldwide), vice president of corporate technology, and vice president and general manager of IBM Power Systems responsible for the company’s more than $5 billion Unix system and software business. Dr. Parris holds a PhD in electrical engineering from the University of California, Berkeley; an MS from Stanford University; an MS in electrical engineering and computer science from the University of California, Berkeley; and a BS in electrical engineering from Howard University.

IRENE QUALTERS serves as the associate laboratory director, emeritus, for simulation and computation at Los Alamos National Laboratory, a Department of Energy national laboratory. Ms. Qualters previously served as a senior science advisor in the Computing and Information Science and Engineering Directorate of the National Science Foundation (NSF), where she had responsibility for developing NSF’s vision and portfolio of investments in high-performance computing, and has played a leadership role in interagency, industry, and academic engagements to advance computing. Prior to her NSF career, Ms. Qualters had a distinguished 30-year career in industry, with a number of executive leadership positions in research and development in the technology sector. During her 20 years at Cray Research, she was a pioneer in the development of high-performance parallel processing technologies to accelerate scientific discovery. Subsequently as the vice president, Ms. Qualters led Information Systems for Merck Research Labs, focusing on software, data, and computing capabilities to advance all phases of pharmaceutical research and development.

INES THIELE is the principal investigator of the Molecular Systems Physiology Group at the University of Galway, Ireland. Dr. Thiele’s research aims to improve the understanding of how diet influences human health. Therefore, she uses a computational modeling approach, termed constraint-based modeling, which has gained increasing importance in systems biology. Her group builds comprehensive models of human cells and human-associated microbes, then employs them together with experimental data to investigate how nutrition and genetic predisposition can affect one’s health. In particular, she is interested in applying her computational modeling approach for better understanding of inherited and neurodegenerative diseases. Dr. Thiele has been pioneering models and methods allowing large-scale computational modeling of the human gut microbiome and its metabolic effect on human metabolism. She earned her PhD in bioinformatics from the University of California, San Diego, in 2009. She was an assistant and associate professor at the University of Iceland (2009–2013) and an associate professor at the University of Luxembourg (2013–2019). In 2013, Dr. Thiele received the ATTRACT fellowship from the Fonds National de la Recherche (Luxembourg). In 2015, she was elected as European Molecular Biology Organization Young Investigator. In 2017, she was awarded the prestigious European

Research Council starting grant. In 2020, she was named a highly cited researcher by Clarivate, and she received the National University of Ireland, Galway, President’s award in research excellence. She is an author of more than 100 international scientific papers and a reviewer for multiple journals and funding agencies.

CONRAD TUCKER is an Arthur Hamerschlag Career Development Professor of Mechanical Engineering at Carnegie Mellon University and holds courtesy appointments in machine learning, robotics, biomedical engineering, and the CyLab Security and Privacy Institute. Dr. Tucker’s research focuses on employing machine learning/artificial intelligence (AI) techniques to enhance the novelty and efficiency of engineered systems. His research also explores the challenges of bias and exploitability of AI systems and the potential impacts on people and society. Dr. Tucker has served as the principal investigator (PI)/co-PI on federally/non-federally funded grants from the National Science Foundation, the Air Force Office of Scientific Research, the Defense Advanced Research Projects Agency, the Army Research Laboratory, and the Bill and Melinda Gates Foundation, among others. In February 2016, he was invited by National Academy of Engineering (NAE) President Dr. C.D. Mote, Jr., to serve as a member of the Advisory Committee for the NAE Frontiers of Engineering Education Symposium. Dr. Tucker is currently serving as a commissioner on the U.S. Chamber of Commerce Artificial Intelligence Commission on Competitiveness, Inclusion, and Innovation. Dr. Tucker received his PhD, MS (industrial engineering), and MBA from the University of Illinois at Urbana-Champaign and his BS in mechanical engineering from the Rose-Hulman Institute of Technology.

REBECCA WILLETT is a professor of statistics and computer science at the University of Chicago. Her research is focused on machine learning, signal processing, and large-scale data science. Dr. Willett received the National Science Foundation (NSF) CAREER Award in 2007, was a member of the Defense Advanced Research Projects Agency Computer Science Study Group, received an Air Force Office of Scientific Research Young Investigator Program award in 2010, was named a fellow of the Society of Industrial and Applied Mathematics in 2021, and was named a fellow of the IEEE in 2022. She is a co-principal investigator and member of the Executive Committee for the Institute for the Foundations of Data Science, helps direct the Air Force Research Laboratory University Center of Excellence on Machine Learning, and currently leads the University of Chicago’s AI+Science Initiative. Dr. Willett serves on advisory committees for NSF’s Institute for Mathematical and Statistical Innovation, the AI for Science Committee for the Department of Energy’s Advanced Scientific Computing Research program, the Sandia National Laboratories’ Computing and Information Sciences Program, and the University of Tokyo Institute for AI and Beyond. She completed her PhD in electrical and computer engineering at Rice University in 2005 and was an assistant professor and then tenured associate

professor of electrical and computer engineering at Duke University from 2005 to 2013. She was an associate professor of electrical and computer engineering, a Harvey D. Spangler Faculty Scholar, and a fellow of the Wisconsin Institutes for Discovery at the University of Wisconsin–Madison from 2013 to 2018.

XINYUE YE is a fellow of the American Association of Geographers (AAG) and a fellow of the Royal Geographical Society (with the Institute of British Geographers), holding the Harold L. Adams Endowed Professorship in the Department of Landscape Architecture and Urban Planning and the Department of Geography at Texas A&M University–College Station (TAMU). Dr. Ye directs the focus of transportation in the PhD program of Urban and Regional Science at TAMU and is the interim director of the Center for Housing and Urban Development. His research focuses on geospatial artificial intelligence, geographic information systems, and smart cities. Dr. Ye won the national first-place research award from the University Economic Development Association. He was the recipient of annual research awards in both computational science (New Jersey Institute of Technology) and geography (Kent State University) as well as the AAG Regional Development and Planning Distinguished Scholar Award. He was one of the top 10 young scientists named by the World Geospatial Developers Conference in 2021. His work has been funded by the National Science Foundation, the National Institute of Justice, the Department of Commerce, the Department of Energy, and the Department of Transportation. Dr. Ye is the editor-in-chief of Computational Urban Science, an open-access journal published by Springer. He also serves as the co-editor of Journal of Planning Education and Research, the flagship journal of the Association of Collegiate Schools of Planning.