Neda is a Post-Doctoral Researcher in the San Diego Supercomputer Center at the University of California, San Diego since 2012. She has a PhD in Computer Science as well as two Masters in Computer Science and Information Technology from University of Texas at Dallas and University of Liverpool, respectively. She has about 10 years of job and research experience in the broad area of Data Mining, Data Modeling and Sharing, Cloud Computing and Privacy. The focus of her research is in Large Data Analytics, Graph Theory, Map-Reduce algorithms in Distributed/Parallel Systems and Visualization. She has several peer-reviewed articles on data mining, semantic web, information retrieval and cloud computing.
Ilkay Altintas, Ph.D
Deputy Coordinator for Research, SDSC
Lab Director, Scientific Workflow Automation Technologies
Expertise: Scientific Workflows, Provenance, Distributed Computing, Observatory Systems
Ilkay Altintas, Ph.D. is the Director for the Scientific Workflow Automation Technologies Lab at the San Diego Supercomputer Center (SDSC), UC San Diego where she also is the Deputy Coordinator for Research. Since joining SDSC in 2001, she has worked on different aspects of scientific workflows as a principal investigator and in other leadership roles across a wide range of cross-disciplinary NSF, DOE and Moore Foundation projects. She is a co-initiator of and an active contributor to the open-source Kepler Scientific Workflow System, and the co-author of publications related to eScience at the intersection of scientific workflows, provenance, distributed computing, bioinformatics, observatory systems, conceptual data querying, and software modeling. Ilkay Altintas received her Ph.D. degree from the University of Amsterdam in the Netherlands with an emphasis on provenance of workflow-driven collaborative science and she is currently an assistant research scientist at UC San Diego.
Natasha Balac, Ph.D.
Director, Predictive Analytics Center of Excellence, SDSC
Director of Data Application and Service, SDSC
Expertise: Data mining and analysis, Machine learning, Scientific data management, Data-intensive computing
Natasha Balac, Ph.D. is the Director of Predictive Analytics Center of Excellence at the San Diego Supercomputer Center (SDSC) encompassing many data mining projects including collaborations with UC San Diego Medical School and UC San Diego 's Smart Energy Grid. Natasha received her Ph.D. in Computer Science from Vanderbilt University with an emphasis in Machine Learning from large data sets. She has been with SDSC since 2003 leading multiple large projects and collaborations across a wide range of organizations in industry, government and academia including the Centers for Medicare and Medicaid Services (CMS), National Science Foundation (NSF), National Institutes of Health (NIH), and the California Energy Commission (CEC).
Chaitan Baru, Ph.D.
Associate Director, Data Initiatives, SDSC
Director, Center for Large-scale Data Systems Research (CLDS), SDSC
Expertise: Large-scale data systems, database systems, scientific data management, performance and benchmarking of big data systems, data integration, data analytics.
Chaitan Baru is a Distinguished Scientist and research staff member at the San Diego Supercomputer Center. He has played a leadership role in a number of national-scale cyberinfrastructure R&D initiatives across a wide range of science disciplines from earth sciences to ecology, biomedical informatics, and healthcare. One of his current initiatives is an industry-academia effort to define big data benchmarks and establish a BigData Top100 List (see www.bigdatatop100.org). He also coordinates the SDSC Data Science Institute initiative for education and training in data science. Prior to joining SDSC in 1996, Baru was involved in the development of IBM's early UNIX-based shared-nothing database systems (DB2 Parallel Edition), where he also led a team that produced the industry's first result for a decision support benchmark (TPC-D). Baru has also served on the faculty of Computer Science and Engineering at the University of Michigan, Ann Arbor. He has a B.Tech. from the Indian Institute of Technology, Madras; and ME and PhD from the University of Florida, all in Electrical Engineering.
Laura Carrington, Ph.D.
Director of Performance Modeling and Characterization (PMaC) Lab
Expertise: HPC performance and power modeling, application analysis, benchmarking, and energy efficient research
Laura Carrington is an expert in High Performance Computing (HPC). Her work has resulted in over 40 publication in HPC benchmarking, workload analysis, application performance modeling, analysis of accelerators (i.e. FPGAs and GPUs) for scientific workloads, tools in performance analysis (i.e. processor and network simulators), and energy-efficient computing. At UC San Diego, she is the director of the Performance, Modeling, and Characterization (PMaC) Lab. She is also the UC San Diego PI for Institute for Sustained Performance, Energy, and Resilience (SUPER) DoE SciDAC-3 and lead for the energy efficiency thrust for the institute as well as PI on a number other awards that support the lab. She has presented at numerous invited talks, member of various panels and committees, and an active member of DoD HPCMP Performance team involved in their annual HPC system procurement for past 10 years.
Amit Chourasia, Ph.D.
Senior Visualization Scientist
Amit Chourasia leads the Visualization Services group at the San Diego Supercomputer Center (SDSC). His work is focused on research, development and application of software tools and techniques for visualization. Key portion of his work is to find ways to represent data in a visual form that is clear, succinct and accurate - a challenging yet very exciting endeavor.
Andreas Goetz, Ph.D.
Assistant Project Scientist, SDSC
Co-Director, CUDA Teaching Center, SDSC
Expertise: Quantum Chemistry, Molecular Dynamics, GPU Accelerated Computing,
Parallel Computing, Biomolecular Simulations
Andreas Goetz, Ph.D., is an Assistant Project Scientist and Co-Director of the CUDA Teaching Center at the San Diego Supercomputer Center (SDSC). His work combines aspects of (bio)chemistry, physics, numerical mathematics, software development and high performance computing. He is a contributing author to the ADF quantum chemistry software and the AMBER software package for biomolecular simulations, both widely used in academic and industrial research. Andreas collaborates on a variety of research projects in molecular simulation, computational enzymology and drug design, most prominently as principal investigator with the National Renewable Energy Laboratory. Andreas also enjoys training the next generation of scientists in software development and numerical simulation methods via lectures, workshops and supervision of interns. Prior to joining SDSC in 2009 Andreas performed postdoctoral research in quantum chemistry at the VU University in Amsterdam and obtained his undergraduate and Ph.D. degrees in chemistry with specialization on theoretical chemistry from the University of Erlangen in Germany.
Amarnath Gupta, Ph.D.
Director, Advanced Query Processing Lab, SDSC
Expertise: Information Integration, Semantic Information Infrastructure, Graph Data Management, Event Modeling
Amarnath Gupta received his Ph.D. in Computer Science from Jadavpur University in India. He is currently a full Research Scientist at the San Diego Supercomputer Center of UC San Diego, and directs the Advanced Query Processing Lab. His primary areas of research include semantic information integration, large-scale graph databases, ontology management, event data management and query processing techniques. Before joining UC San Diego, he was the Chief Scientist at Virage, Inc., a startup company in multimedia information systems. Dr. Gupta has authored over 100 papers and a book on Event Modeling, holds 13 patents and is a recipient of the 2011 ACM Distinguished Scientist award.
Director, Industry Partners Program, SDSC
Ron Hawkins is the director of Industry Relations at the University of California’s San Diego Supercomputer Center, where he is responsible for developing industry partnerships and research collaborations in high performance computing. He also manages business development for SDSC’s service offerings in high performance computing and cloud storage. Mr. Hawkins is a technology industry veteran, having held VP-level management, engineering, and product development positions at companies such as SONY, SAIC, and Titan. Mr. Hawkins’ technology background and interests include high performance and cloud computing, big data, data-intensive systems, microelectronics, embedded and real-time systems, and systems engineering. Mr. Hawkins volunteers as an entrepreneur-in-residence in the ‘CONNECT’ Springboard entrepreneurship program, is a consultant or advisor to several early stage technology companies, and serves on the advisory board of the engineering school at the University of San Diego. He received the Master of Information Systems degree from Virginia Tech and the BSEE degree from the U.S. Naval Academy.
David Nadeau, Ph.D.
Computer Scientist, SDSC
Expertise: Data mining, Visualization techniques, User interface design, High-dimensionality data sets, Software development, Audio synthesis
David Nadeau is a senior computer scientist specializing in visualization and high-performance computing. He specializes in very large high-dimensionality data sets for such diverse fields as geoscience, astrophysics, and medical imaging. His works visualizing nebulae are featured in planetarium shows from the American Museum of Natural History in New York City. He has taught courses in computer graphics and is the co-author of two books on the subject.
Michael Norman, Ph.D.
Director, San Diego Supercomputer Center
Distinguished Professor, Physics, UC San Diego
Director, Laboratory for Computational Astrophysics, UC San Diego
Michael L. Norman is the Director of the San Diego Supercomputer Center and Distinguished Professor of Physics at UC San Diego where he also directs the Laboratory for Computational Astrophysics. He received his B.S. from Caltech in 1975, and his Ph. D. from UC Davis in 1980. After holding appointments at the Lawrence Livermore and Los Alamos National Laboratories, the Max Planck Institute for Astrophysics, and the National Center for Supercomputing Applications, he joined the faculty at UC San Diego in 2000. His research focus is the computer simulation of astronomical phenomena using supercomputers, and the development of the numerical methods to carry them out. He is the author of over 200 papers on diverse topics including star formation, cosmic jets, and cosmological evolution. His computer visualizations have appeared in numerous educational TV shows and films, including PBS Nova and The Discovery Channel. He is the recipient of the Alexander von Humboldt Research Prize and the IEEE Sidney Fernbach Award. He was elected Fellow of the American Physical Society in 2001, and the American Academy of Arts and Sciences in 2005.
Wayne Pfeiffer, Ph.D.
Distinguished Scientist, SDSC
Expertise: Supercomputer performance analysis, Novel computer architectures, Bioinformatics
Wayne Pfeiffer studied math, physics, and nuclear engineering in college and graduate school. After obtaining a PhD from Caltech, he joined General Atomics where he did research and development related to nuclear fission and fusion. Subsequently he helped found SDSC and served as a department manager and deputy director. In recent years he has been doing research in computer performance analysis and bioinformatics. Besides his work, he enjoys outdoor activities such as running, cycling, mountain climbing, and skiing.
Julia Ponomarenko, Ph.D.
Principal Investigator, UCSD San Diego Supercomputer Center
Expertise: Bioinformatics, Immunoinformatics, Databases and Software, Protein Structure, Genomics
Julia Ponomarenko, Ph.D., is Principal Investigator for the National Institute of Health. Her research involves the development of the Immune Epitope Database and Analysis Resource (IEDB), computational studies of gene transcriptional regulation in mammals, and protein/DNA structural informatics. Julia is also Director and Instructor of the Bioinformatics courses for the Biomedical and Bioinformatics graduate programs at UCSD and Lecturer at UCSD Extension. Dr. Ponomarenko obtained her M.Sc. in Physics from Novosibirsk State University (ranked among the top three universities in Russia) and Ph.D. in Biology from the Russian Academy of Science. During her career in Russia and for the last 11 years at SDSC, she has initiated, lead, and developed several high-profiled bioinformatics resources and did pioneering work on predicting gene regulatory sites and effect of SNPs in eukaryotic genomes, using DNA structural information.
Paul Rodriguez, Ph.D.
Research Programmer / Analyst
Paul Rodriguez received his PhD in Cognitive Science at University of California, San Diego (UCSD) in 1999. He spent several years doing research in neural network modeling, dynamical systems simulations, time series analysis, and statistical methods for analysis and predictions in fMRI data. He has more recently worked in data mining for health care fraud identification, and optimization of data intensive network flow models.
Mahidhar Tatineni, Ph.D.
Research Programmer Analyst
Mahidhar Tatineni received his M.S. & Ph.D. in Aerospace Engineering from UCLA. He currently leads the User Services group at SDSC and has done many optimization and parallelization projects on the supercomputing resources including Gordon.
Rick Wagner, Ph.D. Candidate
HPC Systems Manager
Expertise: Linux Clusters, Astrophysics
Rick Wagner is the High Performance Computing Systems Manager at the San Diego Supercomputer Center, and a Ph.D. Candidate in Physics at the University of California, San Diego focusing his research on analyzing simulations of supersonic turbulence. In his managerial role, Rick has technical and operational responsibility for two of the NSF-funded Extreme Science and Engineering Discovery Environment (XSEDE) HPC clusters, Trestles and Gordon, and SDSC's Data Oasis parallel file systems. He has also worked with Argonne National Laboratory on coupling remote large-scale visualization resources to tiled display walls over dynamic circuits networks on the Department of Energy's Energy Sciences Network. Rick's other interests include promoting the sharing of astrophysical simulations through standardized metadata descriptions and access protocols, and he is currently serving as the Vice-Chair of the Theory Interest Group of the International Virtual Astronomical Observatory. His latest side project involves working with undergraduates to develop course materials on parallel programming for middle and high school students using Raspberry Pis.