ASCAC Member Biographies

Martin Berzins Chairman of the Advanced Scientific Computing Advisory Committee (ASCAC), 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 Partial Differential Equations unit at Leeds. Professor Berzins is a Fellow of the Institute for Mathematics and Its Applications in the United Kingdom 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 U.S. Army Research Laboratory Collaborative Research Alliance in Multiscale multi-disciplinary Modeling of Electronic Materials, which brings together nine universities in undertaking electronic materials by design. In 2013, he became the Computer Science lead in the Department of Energy National Nuclear Security Administration 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.

Roscoe Giles Vice Chairman of the Advanced Scientific Computing Advisory Committee (ASCAC), 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, Massachusetts Institute of Technology (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, 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 (BU), 1999-Present. Advanced Scientific Computing Advisory Committee 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 Association for Computing Machinery’s A. Nico Habermann Award, 2000. Fellow of the American Association for the Advancement of Science, 2019. Member: Am Phys Soc, Sigma Xi, Society for Industrial and Applied Mathematics, Phi Beta Kappa. Research: Parallel computer applications, simulations of large-scale molecular systems.

Richard Arthur is Senior Director and Senior Principal Engineer for Advanced Computational Methods Research at the General Electric (GE) Research Center in Niskayuna, New York. Mr. Arthur earned a BS in Computer Engineering from Clarkson University, an MS in 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 GE’s central research hub (then called Corporate Research & Development) in Niskayuna, New York. In 1990, and over his career, he 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 the 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 High-performance computing Initiative, and the National Center for Superconducting Applications 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 science, technology, engineering and mathematics, 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.

Tina Louise Brower-Thomas is Co-Principal Investigator (PI) for the National Science Foundation (NSF)-funded Center of Integrated Quantum Materials (CIQM) where she is the education director and investigator in the 2D heterostructure research area. At Howard University, Assistant Professor Brower-Thomas serves as the CIQM’s executive director. She is also the Diversity and Inclusion co-director for the NSF-funded Center for Quantum Networks and supports research thrust 3: Quantum Devices, Materials, and Fundamentals. Assistant Professor Brower-Thomas is also a PI for the Co-design Center for Quantum Advantage, supporting the materials thrust. At Howard, Assistant Professor Brower-Thomas pursues research in molecular self-assembly, surface functionalization, chemical vapor deposition, and chemical intercalation of 2D materials. In addition to being research faculty in the graduate school at Howard University, she holds a visiting faculty appointment at Harvard University. Assistant Professor Brower-Thomas joined Howard University in 2007, after completing a National Research Council postdoctoral fellowship at the Naval Research Laboratory, Surface and Microanalysis Division, Center for Biomolecular Science and Engineering; she consulted in the support of missions of The Defense Advanced Research Projects Agency and the Department of Homeland Security. In March of 2020, Assistant Professor Brower-Thomas was recognized by her graduate school alma mater, New York University, Tandon School of Engineering, with the Women in Science, Technology, Engineering, and Mathematics (STEM) Champion Award for the Ninth Annual Women in STEM Summit. Assistant Professor Brower-Thomas is a member of Delta Sigma Theta Sorority, Inc. She is also a sustaining member of the Junior League of Washington and is on the board of the Mary Church Terrell House. Assistant Professor Brower-Thomas earned her BS in chemistry from Howard University, an MS of Science in chemistry, and a Ph.D. in materials chemistry from the New York University Tandon School of Engineering.

Vinton G. Cerf is Vice President and Chief Internet Evangelist for Google. Dr. Cerf earned a BS degree in Mathematics from Stanford University, and his MS and Ph.D. from the University of California, Los Angeles. 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 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 from 1992-1995. Dr. Cerf is a Fellow of the Institute of Electric Electronics Engineers, Association for Computing Machinery (ACM), 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, Chairman of StopBadWare, and recently completed his term as Chairman of the Visiting Committee on Advanced Technology for the U.S. 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 U.S. Presidential Medal of Freedom, U.S. 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 the continued spread of the Internet.

Sunita Chandrasekaran is an Associate Professor with the Department of Computer and Information Sciences at the University of Delaware (UD). She is also a co-director of the AI Center of Excellence at UD. She is a computational scientist with Brookhaven National Laboratory. Professor Chandrasekaran received her Ph.D. on Tools and Algorithms for High-Level Algorithm Mapping to FPGAs from the Nanyang Technological University, Singapore. Her research spans high performance computing, exascale computing, parallel programming, compilers, benchmarking, and machine learning. Her research projects include the Exascale Computing Project SOLLVE focusing on the LLVM open source ecosystem, building validation and verification test suites to stress test evolving hardware and software; Oak Ridge National Laboratory’s Center for Accelerated Application Readiness with a focus on porting PIConGPU on Frontier in collaboration with HZDR, Germany; NSF’s project on exploring abstractions for parallel patterns; accelerating MURaM, a solar physics project with NCAR and MPS, predicting ML models for pediatric cancer relapse with Nemours Children’s Hospital and exploring ML models to determine accuracy of a single drug response model among others with FNLCR. She has also been instrumental in the SPEC HPG benchmarking efforts leading to the release of SPEChpc 2021. She serves on the board of directors of the OpenACC organization and is also the user representative chair for OpenACC. She co-edited a textbook on OpenACC, published in 2017. She is an IEEE/ACM senior member and a recipient of the 2016 IEEE-CS TCHPC Award for Excellence for Early Career Researchers in HPC. She has held various leadership positions in HPC conferences and workshops over the past several years.

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 fromis a Mechanical Engineer and a Distinguished Member of Technical Staff at Sandia National Laboratories. She earned her BS in Engineering from Ohio State University, an MS in Mechanical Engineering from the University of California at Berkeley, and a Ph.D. in Mechanical Engineering 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. 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 (2007-2013). 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.

Mark Dean is the John Fisher Distinguished Professor in the Department of Electrical Engineering and Computer Science at the University of Tennessee. He was the interim dean of the University of Tennessee’s Tickle College of Engineering from August 2018 to July 2019. Previously, Professor Dean was CTO for IBM Middle East & Africa and was an IBM Vice President overseeing the company's Almaden Research Center in San Jose, California prior to that. He holds more than 20 patents, including three of nine PC patents for being the co-creator of the IBM personal computer released in 1981. He was part of the team that developed the industry standard architecture systems bus that enables multiple devices, such as modems and printers, to be connected to personal computers. He also led a design team for making a one-gigahertz computer processor chip. Professor Dean was named the first ever African American IBM Fellow in 1995. In 1997, he was inducted into the National Inventors Hall of Fame, and he was elected to the National Academy of Engineering in 2001 for innovative and pioneering contributions to personal computer development.

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 a dual BS 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 Department of Energy (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’s Office of Science and National Nuclear Security Administration (NNSA) supercomputers. He was the Director of the Advanced Scientific Computing Research Exascale Co-Design Center for Materials in Extreme Environments and currently directs the Electric Capacity Planning Co-design center for Particle Applications. 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 Institute of Electric Electronics Engineers 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 a research & development 100 Award (2013).

Susan Gregurick was appointed Associate Director for Data Science and Director of the Office of Data Science Strategy (ODSS) at the National Institutes of Health (NIH) on September 16, 2019. Under Dr. Gregurick’s leadership, the ODSS leads the implementation of the NIH Strategic Plan for Data Science through scientific, technical, and operational collaboration with the institutes, centers, and offices that comprise NIH. Dr. Gregurick received the 2020 Leadership in Biological Sciences Award from the Washington Academy of Sciences for her work in this role. She was instrumental in the creation of the ODSS in 2018 and served as a senior advisor to the office until being named to her current position. Dr. Gregurick was previously the Division Director for Biophysics, Biomedical Technology, and Computational Biosciences at the National Institute of General Medical Sciences. Prior to joining NIH in 2013, Dr. 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 and oversaw the SciDAC Computational Biology partnerships. Before beginning a career in government service, Dr. Gregurick was a professor of computational chemistry at the University of Maryland, Baltimore County. Her research interests included dynamics of large biological macromolecules, and her areas of expertise are computational biology, high performance computing, neutron scattering, and bioinformatics. Dr. Gregurick received her undergraduate degree in chemistry and mathematics from the University of Michigan and her Ph.D. in physical chemistry from the University of Maryland. She completed a Lady Davis postdoctoral fellowship at Hebrew University in Israel and a Sloan postdoctoral fellowship at the University of Maryland’s Center for Advanced Research in Biotechnology, now the Institute for Bioscience & Biotechnology Research, in Shady Grove, Maryland.

Gilbert Herrera is currently the Director of Research at the National Security Agency (NSA) within the Department of Defense. Before moving to the Federal Government, Dr. Herrera spent nearly 40 years at Sandia National Laboratories (SNL) where his last assignment was as a Laboratory Fellow, only one of 15 such appointments in SNL’s 70-year history. Mr. Herrera previously served with NSA as the Director of the Laboratory for Physical Sciences (LPS), at the University of Maryland's College Park Campus, between 2015-2018. He also served as the Director of Microsystems Science and Technology from 2006-2015, which included directing SNL’s Microsystems and Engineering Sciences Applications Complex, a silicon and compound semiconductor fabrication facility that includes over 120 individual research laboratories. Prior to joining LPS, Mr. Herrera served as Director of Microsystems Science and Technology at SNL where his responsibilities included the management of a $250M, 600-person research and development center with expertise in silicon and III-V compound semiconductors, optoelectronic device and process technology, atomic physics-based devices, micro-electro-mechanical systems, and microsensors. From 1997 to 1999, while on a leave of absence from SNL, he served as the chief operating officer of SEMI/SEMATECH, an Austin-based consortium of U.S. suppliers of semiconductor manufacturing equipment and materials. From 1991 to 1992, while on leave from SNL, he was an American Association for the Advancement of Science (AAAS)/Sloan Foundation White House Science Fellow in the Office of Science and Technology Policy. He was awarded three Civilian Service medals from the Pentagon and the NSA Research Medallion. Mr. Herrera is a Fellow of the AAAS (2014), a senior member of the Institute of Electrical Electronics Engineers, and a fellow of the University of Texas Institute for Advanced Technologies. Mr. Herrera earned his MS degree in electrical engineering from the University of California, Berkeley. An Albuquerque native, he received his BS degree in computer engineering from the University of New Mexico.

Anthony Hey is the Chief Data Scientist 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 BA degree in physics from Worcester College, Oxford, and a Ph.D. 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. 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.

Alice Koniges is a Research Principal Investigator at the University of Hawaii at Mānoa and is also a cooperating member of the graduate faculty in UH’s Information and Computer Science Department. Dr. Koniges earned a BA in Applied Mechanics and Engineering Sciences, University of California (UC), San Diego; an MSE in Mechanical and Aerospace Engineering, Princeton University; an MA in Applied Mathematics, Princeton University; and was the first woman to receive a Ph.D. in Applied and Computational Mathematics at Princeton University. She leads efforts in scientific computing with an emphasis on complex physics and mathematical models using differential equations, HPC modeling for the Maui High Performance Computing Center, and ML/DL/AI applications. She is associate editor of the International Journal of High-Performance Computing (HPC) Applications, and has published over 100 refereed papers with more than 1500 citations, and has two books, “Industrial Strength Parallel Computing” and “OpenMP Common Core.” She has served as a mentor to more than 15 post-doctoral graduate students and currently serves as principal investigator on research grants from the National Science Foundation, the Department of Energy (DOE), and the Department of Defense Multidisciplinary University Research Initiative. Dr. Koniges’ team develops the Pacific Island Structured-amr with ALE code that models plasma and fluids, including unique applications relevant to the Hawaiian Islands. The code can run for many hours on the world’s largest computing platforms, often generating terabytes of data that require 3D rendering and processing. Previous to Hawaii, Alice was at Lawrence Berkeley National Laboratory, and also held joint appointments with UC Berkeley and UC Los Angeles. She led applications for the DOE exascale project XPRESS which demonstrated a major milestone in supercomputing. She also previously served as Head of Institutional Computing at the DOE Lawrence Livermore National Laboratory (LLNL) and pioneered several Cooperative Research and Development Agreements with Industry to advance HPC applications for the government. Dr. Koniges’ work has been recognized with: a Guggenheim Fellowship (1979-81); Amelia Earhart Fellowship (1981-83); LLNL Summer Science Institute Advisor/Best Research Project (1996); National Ignition Facility Award for Leadership and Contribution (2005); LLNL Computation Directorate Crystal Award for Intellectual Leadership (2007); Best Paper, First Author, Application acceleration on current and future Cray platforms, CUG (2010); selected to be profiled at DOE site women@energy (2014); SPOT Award from NERSC, Excellent presentations that helped make the Scaling to Petascale Institute a success (2017); Team member getting the NERSC innovative early career award, Harnessing Billions of Tasks for a Scalable Portable Hydrodynamics Simulation of the Merger of Two Stars (2017).

Alexandra (Sandy) Landsberg is the Director of the Mathematics, Computer, and Information Sciences Division in the Information, Cyber and Spectrum Superiority Department of the Office of Naval Research. Ms. Landsberg oversees basic research, applied research, and advanced technology developments in computational methods, data science, decision tools, information assurance, cyber security, command and control, and communications and networking to enable rapid, accurate decision-making addressing the needs of the Department of the Navy. From 2015 to 2019, Ms. Landsberg was the Deputy Director for the Department of Defense High Performance Computing Modernization Program, providing strategic leadership to the organization and delivering supercomputing capabilities to over 5,000 scientists and engineers. From 2008 to 2015, Ms. Landsberg managed computational mathematics research for the Office of Advanced Scientific Computing Research in the Department of Energy, Office of Science. From 2004 to 2008, Ms. Landsberg served in a variety of supervisory and program management roles in the Department of Homeland Security Science and Technology Directorate overseeing research in knowledge discovery and risk assessments. From 2003 to 2004, Ms. Landsberg served as a subject matter expert in modeling and simulation of blast effects for the Defense Threat Reduction Agency. From 1999 to 2003, Ms. Landsberg was the branch chief for warhead performance and target response for Naval Surface Warfare Center Indian Head Division. Ms. Landsberg began her career in 1991 at the Naval Research Laboratory in Washington, DC as a research engineer. Ms. Landsberg received her BS and MS degrees in aerospace engineering from the Massachusetts Institute of Technology.

Mary Ann Leung Since 2014, Dr. Leung is the founding President of the Sustainable Horizons Institute dedicated to increasing opportunities for underrepresented students and professionals in Science, Technology, Engineering and Mathematics (STEM). Before launching Sustainable Horizons, she was the Krell Institute’s program manager for the Computational Science Graduate Fellowship program. During her tenure, the program achieved a doubling, and in some cases quadrupling, of the number of underrepresented minority applications. At Miami Dade College, Dr. Leung developed and implemented novel programming for women and under-represented minorities in the Tools for Success program, funded by National Science Foundation’s STEM Talent Expansion Program. A computational chemist by training, Dr. Leung’s research interests include the development of scalable, parallel, scientific codes for the investigation of quantum mechanical phenomena. Dr Leung was CSGF Fellow from 2001-2005. She chaired the Society of Industrial and Applied Mathematics 2015 Conference on Computational Science and Engineering (CSE15), CSE17, and CSE19, as well as the Supercomputing 2014 (SC14) Broader Engagement (BE) committees. She also served as Deputy Chair for SC13 BE, co-chaired SC11 BE, served on the American Association for the Advancement of Science Committee on Opportunities in Science and was the inaugural Iowa delegate for Vision 2020, a national gender equity initiative. In addition, she has worked with middle and high school girl outreach programs and served on advisory boards for Nevada High School science and engineering initiatives and Workforce Committee.

Vanessa Lopez-Marrero is a Computational Scientist, Applied Mathematics, Computational Science Initiative at Brookhaven National Laboratory (BNL). She received her Ph.D. in Computer Science (Numerical Analysis) at University of Illinois, at Urbana-Champaign, BA in Mathematics, Rutgers University, B.B.A., Computer Information Systems, University of Puerto Rico. Before joining BNL, Vanessa was a Research Staff Member in the Mathematical Sciences Department at IBM’s Thomas J. Watson Research Center for nearly 15 years. Before that, she was a Postdoctoral Fellow at the Computational Research Division, Lawrence Berkeley National Laboratory. She also completed a Postdoctoral Research appointment in Computational Science and Engineering, at the University of Illinois at Urbana-Champaign (UIUC). As a graduate student, she completed internships at Sandia National Laboratory and Argonne National Laboratory. As an undergraduate, she completed internships at the Eastman Kodak Company and National Aeronautics and Space Administration Goddard Space Flight Center. She also worked as a Software Developer at AT&T and the University of Puerto Rico School of Law. Her many awards and honors include IBM Corporate Award: Sensor-Based Physical Analytics, 2014; IBM Outstanding Technical Achievement Award: Measurement and Management Technologies, 2013; IBM Corporate Environmental Innovation Award: Measurement and Management Technologies, 2009; Fulton Watson Copp Chair in Computer Science Research Assistantship, UIUC, 2003 – 2004; SURGE Fellow, UIUC, 1997 – 2004; GEM Fellow, UIUC, 1997 – 1998; Lawrence Corwin Memorial Mathematics Prize, Rutgers University, 1997.

Satoshi Matsuoka is the director of Japan’s RIKEN Center for Computational Science, the organization that oversees the K computer and its upcoming exascale successor, the Post-K supercomputer. Professor Matsuoka received his BS, MS, and Ph.D. 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 Department 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-1990s, along with his collaborators, and currently serves as sub-leader of the Japanese National Research Grid Initiative, 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 serves as the core grid resource in the Titech Campus Grid. Professor Matsuoka has written over 500 articles and book chapters and chaired many Association for Computing Machinery (ACM) and Institute of Electric Electronics Engineers (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.

Jill Mesirov is Associate Vice Chancellor for Computational Health Sciences and Professor of Medicine at the University of California, San Diego (UCSD) 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. Professor Mesirov received her BA in mathematics from the University of Pennsylvania and her MA and Ph.D. in mathematics from Brandeis University. Before moving to UCSD in 2015, Professor Mesirov was associate director and chief informatics officer at the Broad Institute of Massachusetts Institute of Technology (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 UC Berkeley and served as associate executive director of the American Mathematical Society (AMS). Professor Mesirov is a fellow of the American Association for the Advancement of Science, the AMS, the International Society for Computational Biology, and the Association for Women in Mathematics where she formerly served as president. She was appointed as a founding member of Governor Jerry Brown’s California Precision Medicine Advisory Committee. Professor 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.

John Negele is a Professor of Physics at the Massachusetts Institutes of Technology (MIT). John received his BS 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 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 are composed arises from its underlying constituents and their interactions. Currently, his primary interest is in using lattice field theory to solve QCD and thereby understand the structure and interactions of protons, neutrons, and other hadrons.

Irene Qualters is Associate Laboratory Director for Simulation and Computation (Emeritus) at Los Alamos National Laboratory. She earned a BS in Mathematics from Duquesne University and a Masters in Computer Science from the University of Detroit. She 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 played a leadership role in interagency, industry, and academic engagements to advance computing technologies and approaches. Prior to her NSF career, Irene 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 Vice President, she led Information Systems for Merck Research Labs, focusing on software, data, and computing capabilities to advance all phases of pharmaceutical R&D.

Vivek Sarkar is Dean of the College of Computing at Georgia Institute of Technology (Georgia Tech). He holds a BS in Technology from the Indian Institute of Technology, Kanpur, an MS degree from the University of Wisconsin-Madison, and a Ph.D. from Stanford University. Prior to becoming Dean, He was a Professor in the School of Computer Science, and the Stephen Fleming Chair for Telecommunications in the College of Computing at Georgia Tech. Before 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, 2013 – 2016, Associate Director of the National Science Foundation Expeditions Center for Domain-Specific Computing, and led the Pliny project on “big code” analytics in the Defense Advanced Research Projects Agency (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 the programming model, tools, and productivity in the PERCS project, 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 Massachusetts Institute of Technology 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 Association for Computing Machinery 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.

Edward Seidel is President of the University of Wyoming since July 1, 2020. He previously served as the Vice President for Economic Development and Innovation for the University of Illinois System, as well as a Founder Professor in the Department of Physics and a professor in the Department of Astronomy at the University of Illinois at Urbana-Champaign (UIUC). From 2014-2017, he was the director of the National Center for Supercomputing Applications at UIUC. From 2012-2014, he was the Senior Vice President for research and innovation at the Skolkovo Institute of Science and Technology in Moscow. Previously, he was the Assistant Director for Mathematical and Physical Sciences at the National Science Foundation (NSF) and was director of NSF's Office of Cyberinfrastructure. Before NSF, Professor Seidel ran the Louisiana State University’s Center for Computation & Technology in Baton Rouge and was a Professor in the Departments of Physics & Astronomy and Computer Science. He also served as the first Chief Scientist for the Louisiana Optical Network Initiative, which connects supercomputing resources throughout Louisiana to enable faster and more accurate research collaboration. Professor Seidel is a fellow of the American Physical Society and of the American Association for the Advancement of Science. He received the 2006 Sidney Fernbach Award from the Institute of Electrical and Electronics Engineers, the Association for Computing Machinery’s 2001 Gordon Bell Prize, and the 1998 Heinz Billing Prize of the Max Planck Society. Professor Seidel earned a BS in mathematics and physics from the College of William & Mary, an MS in physics from the University of Pennsylvania, and a Ph.D. in relativistic astrophysics from Yale University. Seidel’s research has focused on astronomy, physics, and computer science.

Sameer Shende serves as a Research Professor and the Director of the Performance Research Laboratory at the University of Oregon (UO) and is the President and Director of ParaTools, Inc. (USA) and ParaTools, SAS (France). He has had a long research career at the UO, starting as a Postdoctoral Research Associate in 2001. Professor Shende was a co-founder of Paratools in 2004 and has served as its President since that time. He serves as the lead developer of the Extreme-scale Scientific Software Stack, TAU Performance System, Program Database Toolkit, and high-performance computing Linux. He leads the SDK project for the Exascale Computing Project, in the Programming Models and Runtime area. Professor Shende received his Ph.D. in Computer and Information Science from UO and Bachelor of Technology in Electrical Engineering from the Indian Institute of Technology, Bombay. Honors and Service include: He has served as the Director of the Open POWER Foundation since 2019. He served on the Organizing Committee for Society for Industrial and Applied Mathematics Parallel Processing 2018 and as the General Co-Chair for ICPP 2021. He served as the Area Chair for Performance Measurement, Modeling, and Tools in Technical Papers for SC17 and in some capacity with Office of Science annually including serving as the Vice Chair for Technical Papers at SC22.

Krysta Svore is a senior researcher in Quantum Computing at Microsoft Research. She earned a BA 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 Massachusetts Institute of Technology, 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 at Microsoft Research in Redmond, Washington. 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.

Valerie Taylor Professor Taylor is the Director of the Mathematics and Computer Science Division of Argonne National Laboratory (ANL) and a distinguished Fellow of the Laboratory. Before moving to ANL, Professor Taylor was at Texas A&M University from 2003-2011, as the Head of the Department of Computer Science and Engineering. She also served as the senior Associate Dean of Academic Affairs in the College of Engineering and a Regents Professor and the Royce E. Wisenbaker Professor in the Department of Computer Science. From 1993-2003, she was Professor of Electrical Engineering and Computer Science at Northwestern University. Professor Taylor has received numerous awards for distinguished research, leadership, and efforts to increase diversity in computing. She has authored or co-authored more than 100 papers in the area of high-performance computing, with a focus on performance analysis and modeling of parallel scientific applications. In 2013, she was elected a fellow of the Institute of Electrical and Electronics Engineers, and in 2016, a fellow of the Association for Computing Machinery. In 2019, she was named an Argonne Distinguished Fellow. Her other awards include: Richard A. Tapia Achievement Award for Scientific Scholarship, Civic Science, and Diversifying Computing (2020); MOBE Influencers and Innovators of the Internet and Technology; Hewlett-Packard Harriet B. Rigas Education Award; Sigma Xi Distinguished Lecturer (2003); A. Nico Habermann Award; Access Computing Capacity Building Award; and a National Science Foundation National Young Investigator Award (1993). Professor Taylor earned her BS and MS degrees in Electrical Engineering from Purdue University and her Ph.D. in Electrical Engineering and Computer Science from the University of California, Berkeley. Her research focuses on performance analysis and modeling of parallel, scientific applications.

Cristina Thomas is currently the manager of the Corporate R&D Services Center at 3M. As manager, Dr. Thomas is the Senior Technical Leader and RPR research & development (R&D) Global Process Owner reporting to the Vice President of R&D/CTO. She has over 27 years of service with 3M, advancing through R&D Management positions involving safety, security, strategic planning, and global application development. She holds several patents and has given numerous presentations and published extensively. Prior to 3M, she worked in the Venezuelan oil industry (MARAVEN) and in IBM (New York) performing scientific engineering computations. She received her Ph.D., Chemical Engineering, University of Massachusetts, Amherst; Universidad del Zulia, Venezuela Maracaibo, Vzla, Chemistry; Universidad Nacional Abierta in Caracas, Venezuela, Vzla, Applied Mathematics. Honors and Service include: Dr. Thomas has been recognized by the American Chemical Society Division of Polymeric Materials Science and Engineering (PMSE) as a 2021 Fellow. In 2019, she received the American Institute of Chemical Engineers (AIChE) Industry Leadership Award and the Management Division Award. Her professional society memberships include AIChE and ACS serving in a variety of leadership positions including chair of the Women’s Initiative Committee 2019. Her community work includes science programs (e.g., STEP), Big Brothers/Sisters, and UMass and University of Wisconsin Industrial Board or Relations Team. At 3M she has been active in the Women’s Leadership Forum.

David J. Torres is an Associate Professor of Mathematics and Chair of Mathematics and Science at Northern New Mexico College. Professor Torres earned his Ph.D. in Mathematics from the University of New Mexico; his MS in Applied Mathematics from the University of Arizona; and his BS in Mathematics and Physics from the New Mexico Institute of Mining and Technology. Before joining Northern New Mexico College, Professor Torres was a technical staff member at Los Alamos National Laboratory (LANL) from 2000-2008 and a postdoctoral fellow at LANL from 1998-2000. Before joining LANL, he was a postdoctoral fellow at the New Mexico Institute of Technology in 1996-1997. During his education, he served as a research assistant at the Albuquerque Resource Center, the University of New Mexico (UNM), and LANL. Professor Torres’ research is in computational fluid dynamics, and he has more than 40 publications in applied math and computational fluid dynamics. His work has been recognized with: the 2020 Mentor of the Year from the Alliance for Minority Participation; 2019 Faculty of the Year at Northern New Mexico College; 2018 New Mexico- IDeA Networks of Biomedical Research Excellence; 2011 Community Assets Award, Los Alamos, NM; 2010 Distinguished Copyright Award for KIVA-4 MPI; 2001 Energy 100 Awards for KIVA-Computer Codes for Cars; Outstanding Teaching Assistant in UNM Department of Mathematics 1994; Efroymson Award for Outstanding Achievement in Mathematics at UNM 1993; was awarded a Ford Foundation Predoctoral Fellowship 1990; and the Abraham and Esther Brook Award for Achievement in Physics at NMT 1989.

Juan Torres is the Associate Laboratory Director, Energy Systems Integration at the National Renewable Energy Laboratory (NREL), 2017-present. Prior to joining NREL, Torres served in a variety of technical and management positions throughout his 27-year career at Sandia National Laboratories (SNL), most recently as Deputy to SNL’s Vice President for Energy and Climate programs. At SNL, he led research efforts and vulnerability assessments in cybersecurity, guided research in advanced microgrid and renewable energy, and led the security and resilience team under the Department of Energy’s (DOE) Grid Modernization Laboratory Consortium efforts. Torres co-led the establishment of the DOE National Supervisory Control and Data Acquisition Test Bed to secure power grid control systems from cyber attacks. He served as a member of the DOE task force that developed a national plan to secure the United States (U.S.) energy infrastructure in response to PDD-63 Critical Infrastructure Protection. He also served as SNL’s engineering liaison to the Air Force Materiel Command at Peterson Air Force Base for development and deployment of mobile command and control systems in support of U.S. Space Command and North American Aerospace Defense Command missions. Education: Postgraduate work in management science and engineering at Stanford University, MS, Electrical Engineering, University of New Mexico, BS, Electronics Engineering Technology, University of Southern Colorado, Peublo. Honors and Awards: Dr. Torres received the HENAAC’s Pioneer Award in 2007 and SNL recognized his exceptional service in the national interest in 2016.

James D. Whitfield is an Assistant Professor of Physics at Dartmouth College and an Amazon Visiting Academic at AWS Center for Quantum Computing. Whitfield earned a BS in Mathematics and Chemistry from Morehouse College, an A.M. in Chemistry from Harvard University, and a Ph.D. in Chemical Physics from Harvard University . Before joining Dartmouth, Whitfield was a Postdoctoral Fellow at the University of Ghent in Belgium (2015-2016); a VCQ Postdoctoral Fellow at the Vienna Center for Quantum Science and Technology in Vienna, Austria (2012-2015); a Postdoctoral Fellow at Columbia University and NEC Laboratories America in Princeton, New Jersey (2011-2012). Whitfield’s work has been recognized through the Walter and Constance Berke Fellowship in 2016; a Ford Postdoctoral Fellowship in 2015; the 2011 Molecular Physics Young Author Prize from the Journal of Molecular Physics For “Simulation of electronic structure Hamiltonians using quantum computers”; and the Harvard University Graduate Prize Fellowship from 2006-2011. Whitfield has funding from both the National Science Foundation and Department of Energy (DOE); and more than 30 publications and invited talks at several DOE labs and industries including Microsoft, IBM, and Rigetti Quantum Computing. The overarching objective of Whitfield’s research interest is to understand the abilities and limitations of new and existing computers to perform physical simulations. In particular, he is interested in the role that quantum mechanics plays in computation, both in terms of quantum computers and classical models of quantum information.

Theresa Windus is a Distinguished Professor of Chemistry at Iowa State University (ISU) and an associate with Ames Laboratory. She earned her Ph.D. in Physical Chemistry from Iowa State University. She was also a graduate student at North Dakota State University (NDSU), Fargo, ND. After completing her B.A. in Chemistry, Mathematics and Computer Science, from Minot State University (MSU) in Minot, ND. Professor Windus was Interim Director of the Ames Lab Chemical and Biological Sciences Division in 2020. Before moving to Iowa, Windus was a technical group leader for the Visualization and User Services Group, Pacific Northwest National Laboratory (PNNL). Before that she was a technical group leader for the Molecular Sciences Software Group at PNNL. From 1999-2006 Professor Windus was Chief Scientist at PNNL from 1999-2006. She was also task lead for NWChem from 2001-2003; Staff Scientist and Molecular Science Computational Facility Scientific Consultant at PNNL from 1998-1999. Before joining PNNL, Professor Windus was Director of Computational Chemistry/Training, Ohio Supercomputer Center from 1996-1998. Before that Professor Windus was a Postdoctoral Researcher for Nobel Laureate John A. People (1994-1996) and Mark A. Ratner (1996) before becoming a Research Associate at Northwestern University. Professor Windus is a Fellow of the American Chemical Society (2020); a Fellow of the American Association for the Advancement of Science (AAAS) (2017). She was recognized by the ISU College of Liberal Arts and Sciences Award for Excellence in Undergraduate Introductory Teaching in 2012; Outstanding Teaching Award in 2017; Outstanding Achievement in Research, in 2015 and the Wilkinson Graduate Teaching Award, ISU 2011-2012. She received the Federal Laboratory Consortium for Technology Transfer Award at PNNL in 2001 and the Ames Laboratory Inventor Incentive Award in 2016. Professor Windus was also recognized as a “Champion” for the Women In Science and Engineering (WISE) at ISU in 2016 and was one of the “Women Impacting ISU” in 2014. The Windus group develops and interconnects computational methods to solve important chemical problems such as developing catalysts, determining extractants for obtaining rare earth metals, examining processes for renewable energy sources, and understanding chemistry essential to environmental science. The group develops massively parallel algorithms to accomplish this science using the latest state of the art computational resources.