The SciDB Science Advisory Board consists of a group of experts
representing different science disciplines. The board provides end-user
input into and feedback on SciDB features and priorities.
If you work with a science discipline not covered by our existing
board members, or if you have any other questions regarding this board,
contact the chair.
Gordon Anderson has over 30 years of experience in the development of
instrument control systems, high performance data acquisition systems and
data management systems. These skills have been applied to the high throughput
proteomics research at Pacific Northwest National Laboratory (PNNL). The
development of hardware and software has enabled advanced instrument control
schemes for Environmental Molecular Sciences Laboratories (EMSL)
state-of-the-art high performance Mass Spectrometers. The proteomics
capabilities have been enabled by Gordon's software development efforts in
the area of complex spectral analysis and feature detection. Proteomics
produces large volumes of multi-dimensional data that must be organized
and processed using a combination of commercial software tools and custom
designed tools, Gordon assembled a multi-disciplinary team and has lead
the development of proteomics data management and analysis efforts at PNNL.
Gordon leads the informatics group at PNNL consisting of 12 staff members
responsible for data management and knowledge extraction from the raw data
resulting from analysis of biological samples. Gordon holds 2 R&D 100 awards,
7 patents and has authored or coauthored over a 100 journal articles. Gordon
received his B.S.E.E. from Washington State University in 1985.
Tim Axelrod is the Data Management Project Scientist for LSST, the Large
Synoptic Survey Telescope. He received his BS in Physics from Caltech in
1969, an MS in Applied Physics from Stanford in 1971, and his PhD in Physics
and Astronomy from UC Santa Cruz in 1980. As a physicist at Lawrence
Livermore National Lab he was involved in a wide variety of computational
physics problems, and turned his attention to data intensive astronomy
projects in 1987. After designing and implementing the data processing for
a highly parallel satellite tracking system, he went on to key data architect
roles in TAOS, an asteroid occultation survey, MACHO, a search for dark matter
through microlensing, LBT, the Large Binocular Telescope, and now LSST. MACHO
was one of the first optical astronomy projects that was possible only with
large scale databases and computing, and that tradition of pushing the edge
of data technology for astronomy is now epitomized by LSST.
Environmental Observing Systems
Chaitan Baru is a Distinguished Scientist at the San Diego Supercomputer
Center, UC San Diego, where he leads the CloudStor group and is also
involved in a number of cyberinfrastructure (CI) projects including,
as Project Director of the Geosciences Network
CI Lead for the Tropical Ecology, Assessment and Monitoring network
(TEAM). He is also co-PI
of the CUAHSI Hydrologic Information System
was co-PI of the CI Testbed for the National Ecological Observatory
Network (NEON) while also serving as a member of the founding Senior
Management Team of NEON.
Baru's research interests are in large-scale data systems, cloud
computing, data integration, and scientific data management. Prior to
SDSC, he was at IBM, where he led one of the development teams for DB2
Parallel Edition Version 1 (released Dec 1995). He received his B.Tech
from the Indian Institute of Technology, Madras, and M.E. and Ph.D. in
Electrical Engineering from the University of Florida, Gainesville.
Earth and Environmental Science
Peter Fox is Tetherless World Constellation Chair and Professor of
Earth and Environmental Science at Rensselaer Polytechnic Institute.
Previously, he spent17 years at the High Altitude Observatory of the
National Center for Atmospheric Research as Chief Computational
Scientist. Fox's research specializes in the fields of solar and
solar-terrestrial physics, computational and computer science,
information technology, and grid-enabled, distributed semantic data
frameworks. This research utilizes state-of-the-art modeling
techniques, internet-based technologies, including the semantic web,
and applies them to large-scale distributed scientific repositories
addressing the full life-cycle of data and information within specific
science and engineering disciplines as well as among disciplines. Fox
is currently PI for the Virtual Solar-Terrestrial Observatory, the
Semantically-Enabled Scientific Data Integration, and the Semantic
Provenance Capture in Data Ingest Systems projects. Fox has spent over
23 years bridging science and distributed data and information systems
to support community activities utilizing use case driven design. Fox
leads working groups for: Virtual Observatories for the Electronic
Geophysical Year, semantic web for NASA technology infusion as well as
the Earth Science Information Partnership federation, is chair of the
International Union of Geodesy and Geophysics Union Commission on Data
and Information and the AGU Special Focus Group on Earth and Space
Science Informatics, is an associate editor for the Earth Science
Informatics journal, is a member of the editorial board for Computers
in Geosciences and lead editor for the AGU monograph Virtual
Observatories in Geosciences. Fox recently served on International
Council for Science's Strategic Committee for Information and Data.
Fox also currently serves as President for the not-for-profit Open
source Project for a Network Data Access Protocol (OPeNDAP).
Tim Frazier is senior architect for the Shot Data Systems for the National
Ignition Facility (NIF) at Lawrence Livermore National Laboratory. He is
responsible for leading the development of the scientific archive, workflow
and visualization systems that capture & analyze experimental data produced
by experiments conducted at NIF. In addition, he is a member of the
architecture team which oversees development of the data-driven laser control
system, experimental campaign planning & modeling tools and IT security and
Prior to joining LLNL in 1997, Tim served as Chief Technology Officer
at Sunflower Systems, a provider of asset management applications to
Department-level Federal Agencies and large government contractors.
Tim holds a BS degree in Computer Science and a BS degree in Applied
Mathematics from the University of Virginia.
James Frew is an Associate Professor in the Donald Bren School of
Environmental Science and Management at the University of California,
Santa Barbara (UCSB), and a principal investigator in UCSB's Institute
for Computational Earth System Science (ICESS).
His research interests lie in the emerging field of environmental
informatics, a synthesis of computer, information, and Earth sciences.
Trained as a geographer, he has worked in remote sensing, image
processing, software architecture, massive distributed data systems, and
digital libraries. His current research is focused on geospatial information
provenance, discovery, and curation, using remote sensing data products
generated by his Environmental Information Laboratory as
operational test beds.
Frew currently leads the Earth System Science Server (ES3) project,
and serves as President of the Federation of Earth Science Information
Partners. During the 2005–2006 academic year he was a visiting professor
at the University of Edinburgh's Digital Curation Centre.
High Energy Physics
Since 2008, Dirk Duellmann is a deputy leader of the data management group
in CERN's IT department, which provides database services and develops data
handling frameworks for the LHC physics community. The group is also
responsible for the development of CERN's advanced storage manager
(CASTOR) and key data management components (DPM, LFC, FTS, LCG utils) of
the LHC computing grid. Until recently Dirk lead the LCG persistency framework
development project (2002–2008) and the LCG distributed database deployment
project (2004–2008). Before he worked on object and relational databases
(RD45 and Espresso projects).
Dirk joint CERN in 1995 after receiving a PhD in high energy physics from
the University of Hamburg. Before he worked since 1986 in several software
companies on the development of database management systems and database
Todd Halter has over 20 years experience in the fields of Computer Science,
Physics, Mathematics, and Chemistry. He has through understanding of the data
management requirements within atmospheric sciences. Since 1998, Todd has been
working on the Atmospheric Radiation Measurement (ARM) Program — the
largest global change research program supported by the U.S. Department of
Energy as a value added products and data system developer and project
Todd has served as a group manager, project manager, system architect, and
developer with experience in all aspects of staff and project management,
budget and resource management, architecture and system design, coding,
testing, installation, and maintenance for several other projects within
Todd holds a MS in Computer Science from Washington State University.
Bill is a Senior Scientist at the eScience Institute at the University
of Washington and an Affiliate Assistant Professor in the Computer Science
and Engineering Department, also at UW.
From 2003 to 2008, Bill worked directly with environmental modelers
at the NSF Science and Technology Center for Coastal Margin Observation and
Prediction (CMOP), developing systems and formalisms for querying
grid-structured datasets produced by environmental simulations, particularly
in oceanography. He earned a Phd in Computer Science from Portland State
University in 2006 based on this work.
In 2008, Bill was awarded a Jim Gray seed grant from Microsoft Research
for work on managing environmental modeling data. Bill was also awarded
a two-year grant from NSF to develop a platform for evaluating ad hoc,
long-term climate studies at interactive speeds using an I/O-oriented
cluster provided by NSF, Google, and IBM.
Bill participates in standardization and integration efforts for
national-scale environmental observation and modeling capabilities,
including the Ocean Observatories Initiative (OOI) at NSF, the Integrated
Ocean Observing System (IOOS) at NOAA, and the Collaborative Research on
Oregon Ocean Salmon (ProjectCROOS).
Bill holds a Phd in Computer Science from Portland State University and a
Bachelor's degree in Industrial and Systems Engineering from Georgia Tech.
Michael Godin's preferred role within the Research division of the Monterey
Bay Aquarium Research Institute (MBARI) is to be an instigator of new ideas
for managing and exploring ocean observatories. Recent projects have included
the development collaboration systems for geographically distributed groups of
researchers, tools for spatio-temporal data exploration, and operating
software for underwater vehicles designed for month-long autonomous
He holds engineering degrees from Worcester Polytechnic Institute (B.S.,
Mechanical) and the Massachusetts Institute of Technology (M.S., Nuclear).
He has been building and programming systems since he was a child, and has
managed to maintain the innovative and intuitive attitude of a hobbyist
towards complex systems, despite his dedication to rigor and well documented
He has worked in the government, industry, and non-profit realms on varied
topics including nuclear waste handling robots, environmental risk management,
hyper-spectral in-situ ocean sensing, ocean remote-sensing, marine metadata
management, and underwater robots.
Experimental Physics and Industrial Control System (EPICS)
Nikolay Malitsky is a technology architect for the National Light Source
Project II at Brookhaven National Laboratory. His primary role is associated
with the analysis and integration of industrial standards and technologies
for the development of the next major version of the EPICS control environment.
EPICS is a multi-lab international collaboration encompassing teams from more
than 150 projects of particle accelerators, fusion reactors, telescopes and other
large scientific experiments
Nikolay was acquainted with EPICS in 1992, working on the development of the
Virtual Accelerator of the Superconducting Super Collider. Since that time,
he has been involved in several accelerator projects as the primary architect
of the three-tier model-based systems. This experience was
generalized into the framework of Unified Accelerator Libraries (UAL)
which addresses composite multi-scale modeling studies both in online
distributed control systems and off-line parallel clusters.
Nikolay holds a MS in Experimental Nuclear Physics from Leningrad Polytechnic
Institute and a MS in Computer Science from Nova Southeastern University.