Cornell Faculty, Staff, and Students
Cornell faculty and student researchers leverage CAC computing and consulting services to accelerate discovery and to preserve and disseminate knowledge.
The Cornell projects highlighted below are representative of the broad community that we serve.
College of Agriculture and Life Sciences
Ludmilla Aristilde, Biological and Environmental Engineering, used a CAC-developed Red Cloud image preinstalled with BIOVIA software for on-demand analysis of carbon cycling enzyme simulation data.
Adam Bogdanove, Plant Pathology, depends on a CAC cluster to distribute software and tools to design and assemble TAL effectors, DNA-targeting proteins that bacteria use to alter gene expressions in their hosts.
Angela Douglas, Entomology, is using CAC's Red Cloud and a consultant with expertise in metabolic modeling to develop a pipeline for deducing the mechanisms of symbiosis between insects and their microbial symbionts using transcriptomic data.
Julio Giordano, Animal Science, is collaborating with CAC on a computerized model of a dairy farm that calculates and compares the economic value of dairy reproductive programs so that farmers can make informed decisions.
Jena Hickey, former Natural Resources researcher now with the USGS, modeled Hudson River estuary climate and connectivity on Red Cloud. A ready-to-use Windows virtual machine image was built by CAC consultants.
Denina Hospodsky, Biological and Environmental Engineering Angenent Lab, analyzes high throughput DNA sequencing data with Red Cloud in order to make microbial diversity assessments and assign phylogeny.
Ruth Ley, Microbiology, subscribed to Red Cloud to use QIIME software to process amplicon reads from MiSeq runs. She is searching for links between gut microbiota composition and type 1 diabetes and HIV.
Shanjun Li, AEM, analyzes economic policy. He leveraged Red Cloud with MATLAB to analyze the effect of Corporate Average Fuel Economy (CAFÉ) standards on consumer demand for automobiles.
Drew Margolin is collaborating with CAC on a real-time analytics and visualization platform for social media that detects and visualizes events and collective emotions for social phenomena, such as the Super Bowl or presidential elections.
Jason Mezey and his colleagues in Biological Statistics and Computational Biology depend on CAC’s low-cost archival storage service to house 56 terabytes of quantitative genomics data.
Rebecca Nelson, Plant Pathology, is using a CAC server running a database and web front end to analyze how plants defend against a pathogen attack. Queries were optimized for ease of use by CAC database consultants.
Sharon Poczter, AEM, turned to CAC consulting services to standardize complex datasets that are essential in understanding how political connections benefit firms in emerging economies.
College of Arts and Sciences
Ananth Group relies on the ASTRA cluster at CAC to understand the molecular origin of chemical selectivity in natural and synthetic systems using theoretical simulation techniques.
Thomas Cleland, Psychology, used Red Cloud with MATLAB for rapid, interactive parallel simulations of neural circuitry that were too large to execute effectively on a desktop workstation.
James Cordes, Adam Brazier, and the Center for Radiophysics & Space Research use the WALLER cluster, CAC workflow and database expertise, and central storage to analyze large-scale datasets.
Curt Dunnam, National Biomedical Center for Advanced Electron Spin Resonance Technology, leverages CAC software coding expertise to expand the experiments suite and improve spectrometer performance.
Lawrence Gibbons and the Laboratory for Elementary-Particle Physics depend on CAC big data storage, OSG cluster, and consulting to support CMS Tier 3 Large Hadron Collider experiments and the Muon g-2 project.
James Lloyd and his research team are using Red Cloud computing services as a data archive for the TripleSpec Exoplanet Discovery Instrument and the search for habitable extrasolar planets.
Peter Wittich, Physics, made CAC consultant Steve Lantz part of his grant-winning team to investigate multi-core and many-core technologies for use in tracking in the CMS high level trigger at the CERN Large Hadron Collider.
College of Engineering
Desjardins Research Group Computational Thermo-Fluids Laboratory predicts turbulent reacting multiphase flows using parallel numerical simulations running on the MARVIN cluster. Desjardins is an NSF CAREER awardee.
Fennie Group uses the TARDIS cluster and first-principles computational techniques such as density-functional theory to study the properties of complex materials at the atomic level. Fennie is a MacArthur Fellow.
Peter Frazier and his ORIE research team scaled MATLAB Parallel Computing Toolbox Bayesian analyses codes on an optimal number of Red Cloud cores rather than procuring dedicated hardware for only periodic use.
Peter Jackson, ORIE, is using Red Cloud to develop course materials for operations research and systems engineering and is also experimenting with parallel computing for approximate dynamic programming.
King Research Group is developing state-of-the-art computational simulations of receptor-mediated cell adhesion and a multiscale model of platelet adhesion and thrombus formation on the KINGLAB cluster.
Mason Peck and the KickSat small satellite team will use Red Cloud to perform computationally intensive correlations of raw radio-frequency data to detect low signal-to-noise transmissions from spaceborne sensors.
Reed Research Group uses THECUBE cluster and OSS servers to develop water management modeling tools that combine multi-objective optimization, uncertainty modeling, and advanced spatiotemporal visualization.
Laboratory of Plasma Studies relies on help from CAC consultant Steve Lantz to improve the performance and capabilities of Charles Seyler's PERSEUS simulation code and to troubleshoot software issues arising in high-energy-density plasma physics research.
Wiesner Group, Materials Science and Engineering, asked CAC consultants to design and host a materials database to track the ongoing development of new copolymers.
Dawn Woodard, ORIE, uses a CAC cluster for research in Bayesian statistical methods and for applications such as forecasting ambulance service demand and the real-time analysis of datacenter systems status and demand.
College of Human Ecology
Jere Haas, Division of Nutritional Sciences and his nationwide collaborators leverage CAC hosting services to conduct research on the functional consequences of iron deficiency on physical and cognitive performance.
Human Neuroscience Institute faculty such as Valerie Reyna rely on the HD-HNI cluster to help analyze the neuro basis of human behavior that may lead to interventions that improve health and well-being.
James Jones-Rounds, Manager of the Human Development EEG & Psychophysiology (HEP) Laboratory, depends on CAC's archival data storage service to securely store terabytes of research data.
College of Veterinary Medicine
Daniel Fletcher, Clinical Sciences, leveraged CAC programming services to accelerate the development of software and messaging subsystems for high-fidelity canine and feline simulators.
Kawate Lab, College of Veterinary Medicine, is using a SQL Server system at CAC to study the mechanisms of membrane proteins involved in extracellular adenosine-5’-triphosphate mediated signaling.
Computer and Information Science
Department of Statistical Science faculty such as John Bunge and graduate student researchers depend on the DSS cluster housed and maintained by CAC to perform faster and more accurate statistical analyses.
Institute for Computational Sustainability led by Carla Gomes uses the ATLAS cluster to develop computational methods for balancing environmental, economic, and societal needs for a sustainable future.
Hakim Weatherspoon and his Computer Science collaborators are using Red Cloud to explore data structures that allow cloud user storage portfolios to be diversified and distributed across many cloud providers.
Andrew Davis, Johnson, called on CAC consulting services to implement a new parallel strategy for his behavioral operations management PCT code which led to near-perfect scaling on Red Cloud with MATLAB.
Department of Economics faculty, students, and leading researchers such as Lars Vilhuber use the ECCO cluster to perform advanced data analyses. CAC also houses the SDS cluster which provides controlled access to US Census data.
Brian Caruso is focused on facilitating flexible discovery and access to library resources, including modern user interfaces to library catalog data. He is using multiple Red Cloud subscriptions to run jobs using Hadoop.
Simeon Warner is working with CAC consultants to integrate arXiv--an archive and distribution server for over 1 million research articles--with Open Annotation tools.
Biotechnology Resource Center Bio-IT Facility, directed by James VanEe, depends on storage systems and GlusterFS servers at CAC to provide campus researchers with fast access to 180 terabytes of data.
Bioinformatics Facility led by Jarek Pillardy leverages HPC clusters and web/database servers housed at CAC so that Facility staff experts can focus on delivering core consulting services to Cornell life sciences faculty.
Faculty Innovation in Teaching Program
Barbara Friedman, Faculty Innovation in Teaching Program, contracted with CAC consulting to review and recommend big data techniques for analyzing data from Cornell’s Massive Open Online Courses.
Josh Selsky, Cornell Tech Staff member and Chief Architect for Open mHealth, is leveraging Red Cloud services to develop the open source mHealth platform, ohmage.
Weill Cornell Medical College
Curtis Cole, MD and WCMC CIO, is collaborating with CAC on low-cost archival storage and computing services for clinical research and transactional systems. WCMC’s network has been extended to the Ithaca data center.
Stephen Johnson, PhD, is exploring the use of information systems in patient care, clinical research, and public health. CAC delivers best value hosting for his natural language processing research.
Subroto Paul, MD, asked CAC consultants to develop a HIPAA-protected database for regulatory outcome reporting and research into overall cardiothoracic surgery treatment outcomes.
Nicholas Schiff, MD, and his lab are focused on enhancing recovery after brain injury. They ran an EEG analysis that would have taken 2 weeks on a laptop in only 2 hours on CAC’s Red Cloud service.