Ilkay Altintas, Ph.D
Deputy Coordinator for Research
SDSC Director, Workflows for Data Science (WorDS) Center of Excellence, SDSC
Expertise: Scientific Workflows, Provenance, Distributed Computing, Observatory Systems
Dr. Ilkay Altintas is the Director for the Workflows for Data Science (WorDS) Center of Excellence at the San Diego Supercomputer Center, UCSD. 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, NIH, 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 received a Ph.D. degree from the University of Amsterdam, the Netherlands.
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).
Senior Visualization Scientist
Expertise: Scientific visualization, visual analytics
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.
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.
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.
Robert Sinkovits, Ph.D.
Interim Director for Scientific Computing Applications, SDSC
Expertise: High-performance computing, performance tuning and analysis, software parallelization, network analysis, structural biology
Robert Sinkovits, Ph.D. leads the scientific applications efforts at the San Diego Supercomputer Center. He has collaborated with researchers spanning a large number of fields including physics, chemistry, astronomy, structural biology, finance and the social sciences, always with an emphasis on making the most effective use of high end computing resources. Before returning to SDSC, he was the primary developer of the AUTO3DEM and IHRSR++ software packages used for solving the structures of icosahedral and helical macromolecular structures, respectively. He has approximately 50 journal publications, book chapters and conference proceedings. He is also an avid cyclist and mountain climber, having summited nearly 300 peaks.
Mahidhar Tatineni, Ph.D.
User Services Manager
Expertise: High-performance computing, parallel programming, Hadoop
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.
Andrea Zonca, Ph.D.
HPC Applications Support Specialist, SDSC
Expertise: High Performance Computing, Python, Data-intensive computing
Andrea Zonca has a background in Cosmology, during his PhD and PostDoc he worked on analyzing Cosmic Microwave Background data from the Planck Satellite. In order to manage and analyze large datasets, he developed expertise in Supercomputing, in particular parallel computing in Python and C++.
At the San Diego Supercomputer center he helps research groups in any field of science to port their data analysis pipelines to XSEDE supercomputers. Andrea is also a certified instructor of Software Carpentry and teaches automation with bash, version control with git and programming with Python to scientists.