Exploratory Cloud Research Program

Cloud computing assumes a pivotal role in biomedical research, offering a range of critical benefits. It provides the flexibility of scalable computing power and storage, access to extensive biomedical datasets, cutting-edge software and hardware resources, and user-friendly data sharing capabilities. Particularly noteworthy is its ability to level the playing field for institutions with limited on-premises computing facilities, promoting equity among the diverse array of institutions in the United States. Many NIH researchers stand to gain significantly from cloud computing technology, as it addresses their evolving computational needs. Additionally, many NIH research projects can experience transformative enhancements by harnessing the innovative capabilities of the cloud.

To take the advantage of the opportunities, the NIH Office of Data Science Strategy announced this new supplement program to support NIH researchers to explore and test potential opportunities for leveraging cloud solutions to enhance existing NIH activities.

NOSIs:

PI meetings:

Awardee projects and their descriptions are available below.

NOT-OD-23-070 Award Recipients
Principal InvestigatorInstitutionProject TitleNIH IC
DURA-BERNAL, SALVADORSUNY DOWNSTATE MEDICAL CENTERDissemination of a tool for data-driven multiscale modeling of brain circuitsNIBIB
KUMAR, POORNIMAMCLEAN HOSPITALBuilding Reinforcement Learning and Normative Models in the CloudNIMH
OBUA, CELESTINOMBARARA UNIVERSITY/SCIENCE/TECHNOLOGYMUST Data Science Research Hub (MUDSReH) - Democratized Trusted Research Environment (dTRE)FIC
MORSE, GENE DSTATE UNIVERSITY OF NEW YORK AT BUFFALOExploration of Cloud Solutions to Enhance Global Infectious Diseases Research Training Program ActivitiesFIC
CHERRY, J. MICHAELSTANFORD UNIVERSITYSupport for the use and evaluation of large cloud-based genomic datasetsNHGRI
LIU, TIEMINGOKLAHOMA STATE UNIVERSITY STILLWATEREmpowering Cloud Computing for Non-image-based Diabetic Retinopathy Screening by Designing an EHR-oriented Incremental Learning FrameworkNEI
KESSELMAN, CARLUNIVERSITY OF SOUTHERN CALIFORNIAHybrid- and Multi-Cloud Storage Strategies for Cost-effective Deployment of Data ResourcesNIDCR
ZORN, AARON MCINCINNATI CHILDRENS HOSP MED CTR Cloud implementation of Xenbase the Xenopus model organism knowledgebaseNICHD
RESNICK, ADAM CAINCHILDREN'S HOSP OF PHILADELPHIAEnhancing CBTN digital pathology processing pipeline through the use AWS cloud-based services to enable automation, parallel processing, and  rapid use of AI/ML analyticsNICHD
VALERIUS, MICHAEL TODDBRIGHAM AND WOMEN'S HOSPITAL ATLAS-D2K - Exploring Cloud OptimizationNIDDK
BOBASHEV, GEORGIYRESEARCH TRIANGLE INSTITUTESupplement for Cloud Computing: Opioid Policy ModelsNIDA
POWDERLY, WILLIAM G.WASHINGTON UNIVERSITYExploration of Cloud-based High Performance ComputingNCATS
YIN, YANBINUNIVERSITY OF NEBRASKA LINCOLNExploration of cloud computing for CAZyme researchNIGMS
SAFO, SANDRA EUNIVERSITY OF MINNESOTAMultiViewPortal: Towards a Scalable Web Application for Multiview LearningNIGMS
HOWE, WILLIAM MATTHEWVIRGINIA POLYTECHNIC INST AND ST UNIVAn evaluation of the costs and benefits of cloud computing for modern systems neuroscienceNIDDK
BROOKS, STEPHENNATIONAL INSTITUTE OF ARTHRITIS AND MUSCULOSKELETAL AND SKIN DISEASESNIAMS Hybrid Cloud Computing Pilot NIAMS
POWELL, ELIZABETHNATIONAL INSTITUTE ON ALCOHOL ABUSE AND ALCOHOLISMAlcoholism Solutions: Synthesizing Information to Support Treatments (ASSIST 2.0) NIAAA
ARNAOUT, RIMAUNIVERSITY OF CALIFORNIA, SAN FRANCISCODeveloping FAIR practices for cloud-enabled AI deployment for prospective testingNHLBI
YU, BINGUNIVERSITY OF TEXAS HLTH SCI CTR HOUSTONDevelopment of a cloud-based analytical tool for polygenic risk score and its implication in heart failure researchNHLBI
KOBER, KORD MICHAELUNIVERSITY OF CALIFORNIA, SAN FRANCISCOAn Evaluation of Cloud Computing for Symptom Science Research:  Moving Genomics and Machine Learning Analyses of Cancer Chemotherapy-Related Fatigue to the CloudNCI
TAVTIGIAN, SEAN VAHRAMUNIVERSITY OF UTAHCloud Enabled, Rigorous, Functional Assay Calibration (CERFAC)NCI
KIEHL, KENT ALOVELACE BIOMEDICAL RESEARCH INSTITUTECloud based neuroimaging analysis for identifying traumatic brain injuries and related changesNINDS
RUEBEL, OLIVERUNIVERSITY OF CALIF-LAWRENC BERKELEY LABEvaluation and optimization of NWB neurophysiology software and data in the cloudNINDS
LU, ZHIYONGNATIONAL LIBRARY OF MEDICINEScaling up literature annotations with cloud computing in PubTator 3.0 NLM
SHOCKLEY, KEITH/MOTSINGER-REIF, ALISONNATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCESGenome-wide analysis using cloud computing in the All of Us Researcher WorkbenchNIEHS
AUERBACH, SCOTTNATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCESToxPipe: Semi-Autonomous AI Integration of Diverse Toxicological Data StreamsNIEHS
MARCOTRIGIANO, JOSEPHNATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASESCryo-EM data processing on the cloudNIAID
COOPER, LEENORTHWESTERN UNIVERSITY AT CHICAGOCloud strategies for improving cost, scalability, and accessibility of a machine learning system for pathology imagesNLM
KARRIKER-JAFFE, KATHERINE J.RESEARCH TRIANGLE INSTITUTESupplement for Cloud Computing: Alcohol Use Disorder Treatment SimulationNIAAA
KHAN, JAVEDNATIONAL CANCER INSTITUTEOncogenomics Pipeline & Databases for Childhood Cancer Data Initiative (CCDI) and  
other Pediatric Cancers
NCI
KUMAR, VIVEKJACKSON LABORATORYGoogle Cloud Pipeline for mouse behavior and frailty assessment for the aging research communityNIA

This page last reviewed on July 1, 2024