ASCAC Members Bio

ASCAC Member Biographies

Daniel A. Reed, ASCAC Chair, is the Vice President for Research and Economic Development at the University of Iowa.  Professor Reed is also the University Computational Science and Bioinformatics Chair, and Professor of Computer Science and Electrical and Computer Engineering.  Professor Reed earned a Bachelor of Science degree in Computer Science from the University of Missouri-Rolla in 1978 and a Master of Science (1980) and Ph.D. (1983) in Computer Science from Purdue University.  Before joining the University of Iowa in 2012, Professor Reed was Corporate Vice President at Microsoft from 2009 – 2012, responsible for global technology policy and extreme computing, and Director of Scalable and Multicore Computing at Microsoft from 2007 until 2009.  Professor Reed founded the Renaissance Computing Institute in 2004 and served as its director until December 2007.  During this time Professor Reed was also an Eminent Professor, Senior Adviser for Strategy and Innovation, CIO and Vice Chancellor for Information Technology Services at UNC-Chapel Hill (2004–2007).  Prior to that, he was Director of the National Center for Supercomputing Applications (NCSA), Gutgsell Professor and Head of the Department of Computer Science at the University of Illinois at Urbana-Champaign.  He was appointed to the President’s Council of Advisors on Science and Technology (PCAST), by President Bush, in 2006, and served on the President’s Information Technology Advisory Committee (PITAC) from 2003–2005.  As Chair of PITAC’s Computational Science Subcommittee, he was lead author of the report “Computational Science:  Ensuring America’s Competitiveness.”  On PCAST, he co-chaired the Networking and Information Technology subcommittee (with George Scalise of the Semiconductor Industry Association) and co-authored a report on the Networking and Information Technology Research and Development (NITRD) program called “Leadership Under Challenge:  Information Technology R&D in Competitive World.” He is also a member of PCAST’s Personalized Medicine subcommittee.  Professor Reed is the past Chair of the Board of Directors of the Computing Research Association (CRA) and currently serves on its Government Affairs Committee.  CRA represents the research interests of the university, national laboratory and industrial research laboratory communities in computing across North America.

Martin Berzins is a multi-disciplinary Computational Science researcher, a Professor of Computer Science in the School of Computing and in the Scientific Computing Imaging Institute at the University of Utah, and a Visiting Professor at the University of Leeds.  He graduated in Mathematics at the University of Leeds in 1978 and obtained a Ph.D. in Numerical Analysis there in 1982.  From 1982 until 2002 he was a Lecturer, Senior Lecturer, Reader, Professor in Scientific Computing and finally the Research Dean for Engineering at the University of Leeds.  He was also the co-founder of the Computational PDEs unit at Leeds.  Professor Berzins is a Fellow of the Institute for Mathematics and Its Applications in the UK and a Chartered Mathematician.  In 2003 he moved to the University of Utah, where he was Associate Director (2003-2005) and then Director of the School of Computing (2005-2010).  From 2005 until 2014 he was co-Editor in Chief of Applied Numerical Mathematics.  In 2012 he became Recipient Program Manager of the US Army Research Laboratory Collaborative Research Alliance in MSME (Multiscale multi-disciplinary Modeling of Electronic Materials), that brings together nine universities in undertaking electronic materials by design.  In 2013 he became the Computer Science lead in the DOE NNSA PSAAP2 Carbon Capture Multidisciplinary Simulation Center at the University of Utah.  Professor Berzins work cuts across Applied Mathematics, Computer Science and Engineering and is focused on the development of partial differential equations software for solving challenging engineering problems from a variety of applications on extreme-scale computers.

Vinton G. Cerf is Vice President and Chief Internet Evangelist for Google.  Dr. Cerf earned a B.S. degree in Mathematics from Stanford University, and his M.S. (1970) and PhD (1972) from UCLA.  Widely known as one of the "Fathers of the Internet," Cerf is the co-designer of the TCP/IP protocols and the architecture of the Internet.  He has served in executive positions at MCI, the Corporation for National Research Initiatives and the Defense Advanced Research Projects Agency and on the faculty of Stanford University.  Dr. Cerf served as chairman of the board of the Internet Corporation for Assigned Names and Numbers (ICANN) from 2000-2007 and has been a visiting scientist at the Jet Propulsion Laboratory since 1998.  Dr. Cerf served as founding president of the Internet Society (ISOC) from 1992-1995.  Dr. Cerf is a Fellow of the IEEE, ACM, and American Association for the Advancement of Science, the American Academy of Arts and Sciences, the International Engineering Consortium, the Computer History Museum, and a member of the National Academy of Engineering.  He currently serves as Past President of the Association for Computing Machinery, Chairman of the American Registry for Internet Numbers (ARIN), Chairman of StopBadWare and recently completed his term as Chairman of the Visiting Committee on Advanced Technology for the US National Institute of Standards and Technology.  President Obama appointed him to the National Science Board in 2012.  Dr. Cerf is a recipient of numerous awards and commendations in connection with his work on the Internet, including the US Presidential Medal of Freedom, US National Medal of Technology, the Queen Elizabeth Prize for Engineering, the Prince of Asturias Award, the Tunisian National Medal of Science, the Japan Prize, the Charles Stark Draper award, the ACM Turing Award, Officer of the Legion d’Honneur and 21 honorary degrees.  In December 1994, People magazine identified Dr. Cerf as one of that year's "25 Most Intriguing People."  Dr. Cerf contributes to global policy development for Google and continued spread of the Internet.

Barbara Chapman joined Stony Brook University in September 2015 as a core faculty member of the Institute for Advanced Computational Sciences and a Professor of Applied Mathematics & Statistics and Computer Science. Previously she was a Professor of Computer Science (since 1999) at the University of Houston.  Professor Chapman earned a Bachelor of Science (First Class Honors) in mathematics from Canterbury University, New Zealand, and a Ph.D. in computer science at Queen's University, Belfast.  Before joining the University of Houston, Professor Chapman was a reader at the University of Southampton (1998-2003), a Consultant at the NASA Langley Research Center (1995-2000), Director of the European Center for Parallel Computing in Vienna Austria (1995-1998), and a Research Associate at the University of Vienna (1991-1998).  Professor Chapman has conducted research on parallel programming languages, compiler technology, and tool support for parallel application development for more than 15 years, and has written two books, published numerous papers, and edited volumes on related topics.  Professor Chapman and her team are leaders in technologies for programming multicore processors.

Jacqueline H. Chen is a Mechanical Engineer and a Distinguished Member of Technical Staff at Sandia National Laboratories.  She earned her B.S. in Engineering from the Ohio State University (1981), an M.S. in Mechanical Engineering from the University of California at Berkeley (1982) and a Ph.D. in Mechanical Engineer from Stanford University (1989).  Before completing her Ph.D., Dr. Chen began her long association with Sandia National Laboratories through the Sandia Doctoral Study Program Fellowship (1987-1989).  She has also served as an Adjunct Professor of Chemical Engineering at the University of Utah (1999-present) and Director of the Board of Directors of the Combustion Institute (2007-13).  Her many awards and recognitions include the Sandia Employee Recognition Award for Technical Excellence (1998).  Dr. Chen’s research is in combustion modeling and simulation and she leads an exascale co-design center in combustion.

Dr. Silvia Crivelli is a Staff Scientist in the Computational Research Division at the Lawrence Berkeley National Laboratory.  A Visiting Associate Research Engineer at the California Institute for Quantitative Biomedical Research at the University of California at Berkeley, and an Research Associate in the Department of Computer Science at the University of California, Davis.  Dr. Crivelli received her Bachelor of Science degree in applied mathematics from the Universidad Nacional del Litoral, Argentina in 1980, and both her Master of Science degree and PhD in computer science from the University of Colorado at Boulder in 1995.  Before joining the LBNL in 2007, Dr. Crivelli was a postdoctoral fellow at the NERSC and Physical Biosciences Divisions at LBNL and at the Bioengineering Dept. of the University of California Berkeley.  Dr. Crivelli is a computational biologist who has been working on protein folding for 17 years and is the principal investigator of the ProteinShop and DockingShop projects to develop molecular modeling and steering tools for protein modeling, protein-protein docking and protein-ligand docking.  She has also spent over ten years developing software in high performance computing.  Dr. Crivelli’s research interests include computational methods for molecular biology that combine high-performance computing, human-computer interaction, machine learning and scientific visualization.

John Everett Dolbow is a Professor of Civil and Environmental Engineering at Duke University.  Professor Dolbow earned a Bachelor of Science Degree in Mechanical Engineering from the University of New Hampshire in 1995 and a Master of Science degree (1998) and PhD (1999) in Theoretical and Applied Mechanics from Northwestern University.  During the course of his graduate study, John was a Computational Science Graduate Fellow for the Department of Energy and spent a summer working at Los Alamos National Laboratory.  Professor Dolbow was awarded the Gallagher Young Investigator Award from the United States Association for Computational Mechanics, in July 2005.  His research concerns the development of computational methods for nonlinear problems in solid mechanics.  In particular, he is interested in modeling quasi-static and dynamic fracture of structural components, the evolution of interfaces with nonlinear constitutive laws, and developing models for stimulus-responsive hydrogels.

Jack J. Dongarra is an American University Distinguished Professor of Computer Science in the Electrical Engineering and Computer Science Department at the University of Tennessee.  He holds the position of a Distinguished Research Staff member in the Computer Science and Mathematics Division at Oak Ridge National Laboratory, and is an Adjunct Professor in the Computer Science Department at Rice University.  Professor Dongarra holds the Turing Fellowship in the schools of Computer Science and Mathematics at the University of Manchester.  He is the founding director of Innovative Computing Laboratory.  Professor Dongarra received a Bachelor of Science degree in Mathematics from Chicago State University in 1972 and a Master of Science in Computer Science from the Illinois Institute of Technology in 1973.  He received his Doctor of Philosophy in Applied Mathematics from the University of New Mexico in 1980.  He worked at the Argonne National Laboratory until 1989, becoming a senior scientist.  He was awarded the IEEE Sid Fernbach Award in 2004 for his contributions in the application of high performance computers using innovative approaches; in 2008 he was the recipient of the first IEEE Medal of Excellence in Scalable Computing; in 2010 he was the first recipient of the SIAM Special Interest Group on Supercomputing's award for Career Achievement; in 2011 he was the recipient of the IEEE IPDPS Charles Babbage Award; and in 2013 he was the recipient of the ACM/IEEE Ken Kennedy Award for his leadership in designing and promoting standards for mathematical software used to solve numerical problems common to high performance computing.  He is a Fellow of the AAAS, ACM, SIAM, and the IEEE and a member of the National Academy of Engineering.  Professor Dongarra specializes in numerical algorithms in linear algebra, parallel computing, use of advanced-computer architectures, programming methodology, and tools for parallel computers.  His research includes the development, testing and documentation of high quality mathematical software and his has contributed to the design and implementation of numerous open source software packages and systems.

Sharon C. Glotzer is the Stuart W. Churchill Collegiate Professor of Chemical Engineering, and Professor of Materials Science and Engineering, Physics, Applied Physics, and Macromolecular Science and Engineering at the University of Michigan in Ann Arbor.  Professor Glotzer received a B.S. from the University of California, Los Angeles, and a Ph.D. from Boston University, both in physics. She is member of the National Academy of Sciences, and a fellow of the American Academy of Arts and Sciences, the American Physical Society, and the American Association for the Advancement of Science.  Prior to joining the University of Michigan in 2001, she worked for eight years in the Materials Science & Engineering Laboratory at the National Institute of Standards and Technology as co-founder and Director of the NIST Center for Theoretical and Computational Materials Science.  Professor Glotzer has nearly 200 refereed publications and has presented over 300 plenary, keynote and invited talks around the world.  She was the recipient of the Charles M.A. Stine Award in Materials Science and Engineering from the American Institute of Chemical Engineers, holds a National Security Science and Engineering Faculty Fellowship from the Office of the Secretary of Defense, and was named a 2012 Simons Investigator.  Professor Glotzer’s research is on computational assembly science and engineering aims toward predictive materials design of colloidal and soft matter, with current emphasis on shape, packing, and assembly pathways.

Tony Hey is the Chief Data Scientists for Science and Technology Facilities Council of the United Kingdom located at the Rutherford Laboratory in Oxford, England. Professor Hey is also currently associated with the University of Washington. Previously he was a Vice President in Microsoft Research responsible for collaborative university science research engagements with Microsoft researchers until Nov 2014. Professor Hey earned a Bachelor of Arts degree in physics in 1967 from Worcester College, Oxford, and a Doctor of Philosophy in theoretical physics in 1970 from St John's College, Oxford.  Within Microsoft Research, Professor Hey managed the multidisciplinary eScience Research Group which focuses on computational genomics, new scientific visualization technologies, and environmental research.  Prior to joining Microsoft in 2005, Professor Hey served as director of the U.K.'s e-Science Initiative, managing the government's efforts to build a new scientific infrastructure for collaborative, data-intensive research projects.  Before leading this initiative, Professor Hey led a research group in the area of parallel computing and was Head of the School of Electronics and Computer Science, and Dean of Engineering and Applied Science at the University of Southampton.  Professor Hey is a fellow of the U.K.'s Royal Academy of Engineering and was awarded a CBE for services to science in 2005. He is also a fellow of the British Computer Society, the Institute of Engineering and Technology, the Institute of Physics, and the U.S. American Association for the Advancement of Science (AAAS).  Professor Hey has written books on particle physics and computing and is passionate about communicating the excitement of science and technology to young people.  He has co-authored "popular" books on quantum mechanics and on relativity and a popular book on Computer Science – ‘The Computing Universe’ – will be published by CUP in November 2014.

Gwendolyn Huntoon is Executive Director of the Keystone Initiative for Network Based Education and Research (KINBER).  Huntoon has a Master of Science degree in Electrical Engineering from Northeastern University (1985) and a Bachelor of Arts degree in Math and History from Bowdoin College (1983).  Before joining KINBER, Huntoon was Director of Advanced Networking at the Pittsburgh Supercomputing Center, a research department within Carnegie Mellon University (1989-2014).  Since 2011, Huntoon has also has served as senior director for research and science engagement for the CTO Office at Internet2, where she is responsible for developing programs for and providing direct support to the research community nationwide.  Previously, she served as director of operations for National LambdaRail from 2005-2009, and was the first executive director of The Quilt, which she grew to more than 25 advanced regional network organizations with projects in the area of commodity Internet service (CIS), regional peering and fiber optical networks.

Juan Meza is an Applied Mathematician and the Dean of Natural Sciences at the University of California, Merced.  Professor Meza has degrees in electrical engineering (B.S. 1978 and Masters 1979, Rice University) and computational mathematics (Masters, Ph.D., 1986, Rice University).  Prior to joining UC Merced, Professor Meza was a Senior Scientist and the Department Head for High Performance Computing Research at Lawrence Berkeley National Laboratory.  Prior to joining LBNL, Professor Meza was a Distinguished Member of the Technical Staff at Sandia National Labs.  In 2010, Professor Meza was elected a Fellow of the American Association for the Advancement of Science. He was also the recipient of the Hispanic Business 100 Most Influential Leaders (2009), the Blackwell-Tapia Prize (2008), the SACNAS Distinguished Scientist Award for 2008, and the 2008 ACM Gordon Bell Prize for Algorithm Innovation.  Professor Meza’s areas of research include computational sciences and engineering, numerical algorithms, and parallel computing.

John Negele is a Professor of Physics at the Massachusetts Institutes of Technology (MIT).  John received his Bachelor of Science degree in Engineering Sciences from Purdue University in 1965 and a Ph.D. in Theoretical Physics from Cornell University1969.  Professor Negele joined MIT as a Visiting Assistant Professor in 1970, progressing to Professor of Physics in 1979.  Professor Negele’s honors include the Alexander von Humboldt Foundation Research Award and the John Simon Guggenheim Fellowship.  He currently serves as a member of the DOE Executive Committee on Computational Resources for Lattice QCD, and as the Chair of the Feenberg Medal Committee.  He is a Fellow of the American Physical Society and the American Association for Advancement of Science.  Throughout his career, the goal of Professor Negele's research has been to understand how the rich and complex structure of the matter of which we and our universe is composed arises from its underlying constituents and their interactions.  Currently, his primary interest is in using lattice field theory to solve quantum chromodynamics (QCD) and thereby understand the structure and interactions of protons, neutrons, and other hadrons.

Linda Petzold is a Professor in the Department of Computer Science and the Department of Mechanical Engineering and is affiliated faculty for the Department of Mathematics at the University of California, Santa Barbara.  Professor Petzold is also Director of the Computational Science and Engineering Graduate Emphasis and the Summer Applied Biotechnologies Research Experience (SABRE) of the Institute for Collaborative Biotechnologies.  She earned a Bachelor of Science degree in Mathematics and Computer Science (1974) and a Ph.D. in Computer Science (1978) from the University of Illinois at Urbana-Champaign (UIUC).  In 1991, Professor Petzold was awarded the J.H. Wilkinson Prize for Numerical Software from the Society for Industrial and Applied Mathematics (SIAM).  In 1999, Professor Petzold was awarded the Germund Dahlquist Prize from SIAM and in 2013 she was awarded the SIAM/ACM Prize for Computational Science and Engineering.  She is a Member of the U.S. National Academy of Engineering and a Fellow of ACM, ASME, SIAM and AAAS.  Professor Petzold’s research is focused on modeling, analysis, simulation and software, applied to multiscale, networked systems in biology, materials and social networks.

Vivek Sarkar is Professor and Chair of Computer Science at Rice University.  He holds a Bachelor of Technology degree from the Indian Institute of Technology, Kanpur, a Master of Science degree from the University of Wisconsin-Madison, and a Ph.D. from Stanford University.  Professor Sarkar currently leads the Habanero Extreme Scale Software Research project at Rice University, and serves as Associate Director of the NSF Expeditions Center for Domain-Specific Computing.  Prior to joining Rice in July 2007, Professor Sarkar was Senior Manager of Programming Technologies at IBM Research.  His responsibilities at IBM included leading IBM’s research efforts in programming model, tools, and productivity in the PERCS project during 2002- 2007 as part of the DARPA High Productivity Computing System program.  His prior research projects include the X10 programming language, the Jikes Research Virtual Machine for the Java language, the ASTI optimizer used in IBM’s XL Fortran product compilers, the PTRAN automatic parallelization system, and profile-directed partitioning and scheduling of Sisal programs. In 1997, he was a Visiting Associate Professor at MIT, where he was a founding member of the MIT Raw multicore project.  Professor Sarkar became a member of the IBM Academy of Technology in 1995, the E.D. Butcher Chair in Engineering at Rice University in 2007, and was inducted as an ACM Fellow in 2008.  Professor Sarkar conducts research in multiple aspects of parallel software including programming languages, program analysis, compiler optimizations and runtimes for parallel and high performance computer systems.

Dean N. Williams is a leading researcher in computational science at Lawrence Livermore National Laboratory (LLNL) since 1987.  After receiving his BA in Applied Mathematics and Statistics, in 1985, and his MS in Computer Science, in 1987, from the California State University at Chico, Mr. Williams has been engaged in research activities focusing on data modeling, data analytics and visualization, high-performance and distributed computing, and network technologies.  He has unique experience in distributed computing and networking technologies and practical application in the areas of climate change, biology, and other large-scale scientific data projects.  For close to three decades, Mr. Williams has been the Principal Investigator (PI) for several large DOE projects related to “Big Data” initiatives, including the Earth System Grid Federation, the Ultrascale Visualization Climate Data Analysis Tools, and the Climate 100 Advanced Networking Initiative.  These combined software investigations are essential to the national and international climate communities and share in the 2007 Nobel Prize-winning Intergovernmental Panel on Climate Change (IPCC) Fourth Assessment Report (AR4).  As the Project Leader for LLNL’s Analytics and Informatics  Management Systems, Mr. Williams has garnered many national and international awards, including the two more recent 2013 and 2014 Federal Laboratory Consortium (FLC) awards for Advancing Federal Research and Technology” and the 2010 American Meteorological Society (AMS) special award for “Changing the Way Climate Science Does Business.”

Last modified: 3/14/2016 3:48:04 PM