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Cornell Faculty, Staff, and Students

Project Highlights

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.


Art DeGaetano, Earth and Atmospheric Sciences, asked CAC programmers to write JavaScript web modules that give users from the NE faster access to climate data stored in the Applied Climate Information System (ACIS).


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.


Jack Freed, Madhur Srivastava, and the National Biomedical Center for Advanced ESR Technology use CAC computing and software development skills to create and run wavelet-based denoising of electron spin resonance signals.


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, 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, former Biological and Environmental Engineering Angenent Lab member, analyzed high throughput DNA sequencing data with Red Cloud in order to make microbial diversity assessments and assign phylogeny.


Jason Karszes, PRO-DAIRY Program, is working with CAC developers to create a modern re-implementation of their Dairy Profit Monitor web site, which is now hosted on Red Cloud.


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 collaborated 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.


Poppy McLeod, Communications, is collaborating with CAC computational scientist Peter Vaillancourt on using social network analysis on a large-scale dataset in R to discover predictors of leadership.


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.



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.


James Lloyd and his research team used 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

Jonathan Butcher, School of Biomedical Engineering, is collaborating with CAC and other universities to develop a proposal for an NSF Emergent Biocomplexity Engineering Research Center.


Craig Fennie 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.


Mason Peck and the KickSat small satellite team used 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, OSS servers, and Red Cloud 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.



College of Human Ecology

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 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

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.



Johnson

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.



ILR School

Economics faculty and researcher Lars Vilhuber use the ECCO cluster to perform data analyses and the SDS cluster for controlled access to US Census data. CAC's Brandon Barker is creating a metadata editor and viewer for metajelo.



Library

Brian Caruso has worked on facilitating flexible discovery and access to library resources, including modern user interfaces to library catalog data. He used multiple Red Cloud subscriptions to run jobs using Hadoop and is now a senior arXiv developer.


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.



Research Centers

Institute of Biotechnology 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.



Cornell Tech

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 Medicine

Curtis Cole, MD and WCM CIO, is collaborating with CAC on low-cost archival storage and computing services for clinical research and transactional systems. WCM’s network has been extended to the Ithaca data center.


Nicholas Schiff, MD, is focused on enhancing recovery after brain injury. His team ran an EEG analysis that would have taken 2 weeks on a laptop in only 2 hours on CAC’s Red Cloud.