ASCAC Members Bio

ASCAC Member Biographies

Daniel A. Reed, Chairman of the ASCAC, is the Senior Vice President for Academic Affairs of the University of Utah.  He also serves as a Professor of Computer Science and Electrical & Computer Engineering.  Professor Reed earned a Bachelor of Science degree in Computer Science from the University of Missouri-Rolla, and a Master of Science, and Ph.D., in Computer Science from Purdue University.  Before joining the University of Utah, Professor Reed was the Vice President for Research and Economic Development, University Computational Science and Bioinformatics Chair, and Professor of Computer Science and Electrical and Computer Engineering at 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.

Richard Arthur is Senior Director and Senior Principal Engineer for Advanced Computational Methods Research at the GE Research Center in Niskayuna, NY.          Mr. Arthur earned a BS in Computer Engineering from Clarkson University, a Masters of Engineering in Electrical, Computer and Systems Engineering from Rensselaer Polytechnic Institute, and an MBA from the State University of New York - University at Albany. Mr. Arthur joined General Electric’s central research hub (then called Corporate Research & Development) in Niskayuna, N.Y. in 1990 and over his career worked on a widely-diverse set of projects in markets such as medical imaging, military/aerospace, rail transportation, power generation and transmission, broadcast media, financial services, life sciences, and security.  He is responsible for driving vision, strategy and coordination of computing-enabled technology from embedded devices through supercomputing. Computing is central to GE’s major initiatives in Industrial Internet and Advanced Manufacturing.  He serves on several advisory committees including the U.S. Council on Competitiveness HPC Initiative, and the NCSA Blue Waters Science & Engineering Technical Advisory Council.  He is a Senior Member of the Association for Computing Machinery and is active in promoting awareness and shaping policy relating to STEM education and careers.

Keren Bergman is the Charles Bachelor Professor of Electrical Engineering at Columbia University.  Professor Bergman received her B.S. from Bucknell University, and an M.S., and Ph.D., from M.I.T., all in Electrical Engineering.  Professor Bergman has been Chair of the Department of Electrical Engineering at Columbia University since 2011, a full professor since 2006, and Director of the Lightwave Research Lab since 2002.  From 1998–2007, she was also a Senior Technical Adviser to the National Security Agency and did a sabbatical at the IBM T.J. Watson Labs in 2007–2008.  Before joining Columbia University in 2001, Professor Bergman was a Senior Member of the Technical Staff at Tellium, Inc. from 2000 – 2001, an Assistant Professor at Princeton University from 1994 – 2000 and a Technical Consultant at Bell Laboratories, Lucent Technologies  from 1995 – 2000.  Professor Bergman is a fellow of the IEEE and the Optical Society of America and received both an NSF CAREER and an ONR Young Investigator award.  As director of the Lightwave Research Laboratory she leads multiple research programs on optical interconnection networks for advanced computing systems, data centers, optical packet-switched routers, and chip multiprocessor nanophotonic networks-on-chip.

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, and obtained a Ph.D. in Numerical Analysis there.  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. and PhD 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, 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 with a joint appointment at Brookhaven National Laboratory.  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 Stony Brook University, Professor Chapman was a Professor of Computer Science at the University of Houston (1999-2015).  Previously, she 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 Ohio State University, an M.S. in Mechanical Engineering from the University of California at Berkeley, and a Ph.D. in Mechanical Engineer from Stanford University.  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 election to the National Academy of Engineering in 2018; the Sandia Employee Recognition Award for Technical Excellence (1998).  Out of her numerous research achievements, Chen takes the most pride in understanding intricate turbulence-chemistry interactions, exemplified by a recent simulation of a turbulent jet of a complex hydrocarbon fuel spontaneously igniting at temperature and pressure conditions typical of a modern diesel engine.  Dr. Chen’s research is in combustion modeling and simulation and she leads an exascale application team in combustion.

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, and both her Master of Science degree, and PhD in computer science, from the University of Colorado at Boulder.  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 Department 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, and a Master of Science degree, and PhD 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 also 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, and a Master of Science in Computer Science from the Illinois Institute of Technology.  He received his Doctor of Philosophy in Applied Mathematics from the University of New Mexico.  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.

Thom Dunning is Co-Director of the Northwest Institute for Advanced Computing – a partnership between the University of Washington and Pacific Northwest National Laboratory.  Professor Dunning earned his B.S. in Chemistry from the Missouri University of Science & Technology.  He earned a Ph.D., Chemistry/Chemical Physics from the California Institute of Technology.  Before joining the NIAC in 2013, Professor Dunning served as Director of the National Center for Supercomputing Applications and Distinguished Chair for Research Excellence in Chemistry at the University of Illinois at Urbana-Champaign, where he joined the faculty in 2004.  In 2002, he was director of the Joint Institute for Computational Science and Distinguished Professor of chemistry and chemical engineering at the University of Tennessee, as well as a Distinguished Scientist in computing and computational sciences at ORNL.  In 2001, Professor Dunning was a professor of chemistry responsible for supercomputing and networking for the University of North Carolina System.  As Assistant Director for Scientific Simulation within the U.S. Department of Energy’s Office of Science (1999-2001), he was responsible for developing a new scientific computing program, Scientific Discovery through Advanced Computing (SciDAC).  Professor Dunning began his career in 1973, at LANL, and also worked at ANL and PNL, where he was the first Battelle Fellow, in 1997.

Timothy C. Germann is a Technical Staff Member, in the Physics and Chemistry of Materials Group (T-1), at Los Alamos National Laboratory (LANL) where he has worked since 2000.  Dr. Germann earned dual Bachelor of Science degrees, in Computer Science and in Chemistry, from the University of Illinois at Urbana-Champaign, and a Ph.D. in Chemical Physics from Harvard University, where he was a DOE Computational Science Graduate Fellow.  At LANL, Tim has used large-scale classical MD simulations to investigate shock, friction, detonation, and other materials dynamics issues using DOE-SC and NNSA supercomputers.  He was the Director of the ASCR Exascale Co-Design Center for Materials in Extreme Environments (ExMatEx) and currently directs the ECP Co-design center for Particle Applications (CoPA). Dr. Germann is a Fellow of the American Physical Society (APS), and past leader (as vice-chair, chair-elect, chair, and past chair) of the APS Division of Computational Physics from 2011-2015.  He has received an IEEE Gordon Bell Prize (1998; also a finalist in 2005 and 2008), three LANL Distinguished Performance Awards (2005, 2007, and 2009), two NNSA Defense Programs Awards of Excellence (2006 and 2007), the LANL Fellows' Prize for Research (2006), the LANL Distinguished Copyright Award (2007), and an R&D 100 Award (2013).

Roscoe Giles is the Deputy Director, Boston University Center for computational Science and a Professor of Computer & Electrical Engineering at Boston University.  He earned his BA in Physics, with honors, at the University of Chicago.  He was a Research Associate, Stanford Linear Accelerator Center, 1975-1976.  A Research Associate, Center for Theoretical Physics, MIT, 1976-1978.  An Assistant Professor MIT Physics Department, 1979-1985.  An Associate Professor, Electrical and Computer Engineering, Boston University, 1985-1998, Team Leader, Education Outreach and Training Partnership for Advanced Computational Infrastructure (EOT-PACI), 1997-2004; Deputy Director, Boston University Center for Computational Science, 1992-Present and Professor, Department of Electrical and Computer Engineering and Department of Physics, Boston University, 1999-Present.  ASCAC member 2000-2015, Chair 2010-2015; Chairman and board member Associated Universities, Inc. 2016-2019; 2004 first faculty member to serve on the BU board of trustees; 2002 chair of the Supercomputing Conference; Awarded ACM’s A. Nico Habermann Award, 2000.  Fellow of the AAAS, 2019.  Member:  Am Phys Soc, Sigma Xi, SIAM, Phi Beta Kappa.  Res:  Parallel computer applications, simulations of large scale molecular systems.

Susan Gregurick is director of the National Institute of General Medicine (NIGMS), Division of Biomedical Technology, Bioinformatics, and Computational Biology (BBCB) at the National Institutes of Health (NIH).  In this capacity, she oversees programs that join biology with the computer sciences, engineering, mathematics and physics.  The division’s activities include supporting biomedical technology research resources, systems biology centers, and computational models of infectious disease spread.  Prior to joining NIGMS, Gregurick served as acting director of the Biological Systems Science Division at the Department of Energy (DOE).  She also developed and managed DOE’s Systems Biology Knowledgebase.  Dr. Gregurick earned a B.S. in Chemistry from the University of Michigan, Ann Arbor, and a Ph.D. in Chemistry from the University of Maryland, College Park.

Bruce Hendrickson is the Associate Director for Computing at Lawrence Livermore National Laboratory (LLNL).  Dr. Hendrickson has degrees in Mathematics and Physics from Brown University and a Ph.D. in Computer Science from Cornell University.  Dr. Hendrickson came to LLNL after a long career at Sandia National Laboratories where he led the Center for Computational Research and managed Sandia’s Advanced Simulation and Computing program.  Hendrickson is a former Hertz Fellow and is a Fellow of the Society for Industrial and Applied Mathematics and of the American Association for the Advancement of Science.  He is a highly published and cited scientist with four U.S. Patents.  He is a member of numerous Journal Editorial Boards, Steering and Selection Committees, and Boards including for NSF, SIAM and IEEE.  His research has garnered a number of international awards including 2017 George R. Cotter Award for "Vision and Leadership in the Field of Data Analytics; the SC 2014 Test of Time Award for development of multilevel graph partitioning; several best paper awards and a three-time finalist for the Gordon Bell Prize.  His research interests include computational science, parallel algorithms, combinatorial scientific computing, linear algebra, data mining, graph algorithms and computer architecture.

Anthony Hey is the Chief Data Scientists for Science and Technology Facilities Council of the United Kingdom located at the Rutherford Appleton 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 November 2014.  Professor Hey earned a Bachelor of Arts degree in physics from Worcester College, Oxford, and a Doctor of Philosophy in theoretical physics from St. John's College, Oxford.  Within Microsoft Research, Professor Hey managed the multidisciplinary science 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’, published by CUP in November 2014 and an updated edition of the Feynman Lectures on Computation – expected June 2020.

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 and a Bachelor of Arts degree in Math and History from Bowdoin College.  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.

Dr. Richard A. Lethin, is President at Reservoir Labs (1997-present) and an Associate Adjunct Professor of Electrical Engineering at Yale University since 2000.  Reservoir Labs is a privately held technology and solutions small business headquartered in New York City.  Dr. Lethin earned a Bachelor of Science degree in Electrical Engineering from Yale University, and Ph.D. in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology (MIT).  His graduate school education was sponsored by a fellowship from the John and Fannie Hertz Foundation.  Between degree programs, Richard worked as an engineer Multiflow Computer, Inc.  Dr. Lethin’s research interests are in advanced compiler, network, and reasoning technologies with an emphasis on mapping innovative algorithms to emerging high-performance and embedded architectures.

Alexandra (Sandy) Landsberg is Deputy Director of the Office of Research and Engineering in the High Performance Computing Modernization Office in the Department of Defense.  Ms. Landsberg earned her M.S. and B.S. in Aerospace, Aeronautical Engineering at MIT.  Before moving to the Department of Defense in 2015, Ms. Landsberg was a program manager for applied mathematics in the Office of Science at the Department of Energy from 2008-2015.  From 2004-2008, Ms. Landsberg was a Branch Chief for Chemical and Biological Threat Characterization and Attribution at the Department of Homeland Security.  From 2003-2004, she was a program manager at the Defense Threat Reduction Agency.  From 1991-1999, Ms. Landsberg was an engineer at the Naval Research Laboratory and was promoted to Branch Chief for the NSWC Indian Head Division from 1999-2003.  Ms. Landsberg leads DOD research for HPC applications and underlying technologies and has served as both a member and co-chair of the NITRD subcommittee on High End Computing.

Jill Mesirov is Associate Vice Chancellor for Computational Health Sciences and Professor of Medicine at UC San Diego School of Medicine.  She is also a member of the UCSD Moores Cancer Center, where she serves as co-lead for the structural and functional genomics research program.  Dr. Mesirov received her B.A. in mathematics from the University of Pennsylvania and her M.A. and Ph.D. in mathematics from Brandeis University.  Before moving to UC San Diego in 2015, Dr. Mesirov was associate director and chief informatics officer at the Broad Institute of MIT and Harvard, formerly the whitehead Institute/MIT Center for Genome Research, where she directed the Computational Biology and Bioinformatics Program and was a member of the Cancer Program steering committee.  She previously served as manager of computational biology and bioinformatics in the Healthcare/Pharmaceutical Solutions Organization of IBM, director of research at Thinking Machines Corporation and has also held positions in the mathematics department at the University of California at Berkeley and served as associate executive director of the American Mathematical Society.  Dr. Mesirov is a fellow of the American Association for the Advancement of Science (AAAS), the American Mathematical Society (AMS), the International Society for Computational Biology (ISCB), and the Association for Women in Mathematics (AWM) where she formerly served as president.  She was appointed as a founding member of Governor Jerry Brown’s California Precision Medicine Advisory Committee.  Dr. Mesirov is a computational scientist who has spent many years working in the area of high-performance computing on problems that arise in science, engineering, and business applications.  Her research focuses on cancer genomics applying machine-learning methods to functional data derived from patient tumors.

Satoshi Matsuoka is the director of Japan’s RIKEN Center for Computational Science (R-CCS), the organization that oversees the K computer and its upcoming exascale successor, the Post-K supercomputer.  Professor Matsuoka received his BSc, MSc, and PhD in Information Science from the University of Tokyo.  After being a Research Associate and Lecturer for the university’s Information Science and Information Engineering Departments he became an Associate Professor in the Dept. of Mathematical and Computer Sciences.  Five years later he became a Full professor of Mathematical and Computing Sciences and Director of the Global Scientific Information and Computing (GSIC) Center at Tokyo Institute of Technology (Tokyo Tech), ranked 2nd in Japan and 22nd in the world in engineering and IT according to the Times rankings.  Professor Matsuoka led GSIC’s Research Infrastructure Division, overseeing Tokyo Tech’s responsibilities as a national supercomputing center.  Professor Matsuoka has pioneered grid computing research in Japan since the mid ’90s along with his collaborators, and currently serves as sub-leader of the Japanese National Research Grid Initiative (NAREGI), which aims to create middleware for next-generation CyberScience Infrastructure.  He was also the technical leader in the construction of the TSUBAME supercomputer, which became the fastest supercomputer in the Asia-Pacific in June 2006, and also serves as the core grid resource in the Titech Campus Grid. Professor Matsuoka has written over 500 articles and book chapters, and chaired many ACM and IEEE conferences.  He is a Fellow of the ACM and European ISC, and has won many awards, including the JSPS Prize in 2006, the ACM Gordon Bell Prize in 2011, the Commendation for Science and Technology by the Japanese Minister of MEXT in 2012, and the 2014 IEEE Computer Society Sidney Fernbach Award.

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 and a Ph.D. in Theoretical Physics from Cornell University.  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.

Vivek Sarkar is Professor in the School of Computer Science, and the Stephen Fleming Chair for Telecommunications in the College of Computing at Georgia Institute of Technology.  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.  Prior to moving to Georgia Tech in August 2017, Professor Sarkar was the E.D. Butcher Chair of Engineering and Professor of Computer Science at Rice University, where he created the Habanero Extreme Scale Software Research Laboratory with the goal of unifying elements of high-end computing, multicore, and embedded software stacks so as to produce portable software that can run unchanged on a range of homogeneous and heterogeneous extreme scale platforms.  He also served as Chair of the Department of Computer Science at Rice during 2013 – 2016, Associate Director of the NSF Expeditions Center for Domain-Specific Computing and the led the Pliny project on “big code” analytics in the DARPA MUSE program.  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.

Krysta Svore is a senior researcher in Quantum Computing at Microsoft Research.  She earned a B.A. in Mathematics, with a minor in Computer Science and French, from Princeton University.  She earned her Ph.D. with Highest Distinction in Computer Science from Columbia University, under Dr. Alfred Aho and Dr. Joseph Traub.  Previously, she worked with Dr. Isaac Chuang at MIT, Dr. John Preskill at Caltech, and Dr. David DiVincenzo and Dr. Barbara Terhal at IBM Research.  Dr. Svore currently manages the Quantum Architectures and Computation Group (QuArC) at Microsoft Research in Redmond, WA.  Her research focuses on quantum algorithms and how to implement them on a quantum device -- from how to code them in a high-level programming language, to how to optimize the resources they require, to how to implement them in hardware.  Her research team also works on designing a scalable, fault-tolerant software architecture for translating a high-level quantum program into a low-level, device-specific quantum implementation, called LIQUi|>; (pronounced “liquid”, language-integrated quantum operations).  Her team works in collaboration with Microsoft Station Q, Microsoft Research’s center for topological quantum computation. Other research interests include machine learning algorithms, both classical and quantum.