Protection of Records: Privacy (PReP) Technology for Medical Research
Quantify the privacy risk of EHR and develop privacy-preserving algorithms to enable data anonymization and analysis for quality improvement.
Protect privacy of healthcare data in the cloud
Sustainability and privacy are critical concerns in handling large and growing healthcare data. New challenges emerge as new paradigms like cloud computing become popular for cost-effective storage and computation. This project will develop an advanced framework to combine rigorous privacy protection and encryption techniques to facilitate healthcare data sharing in the cloud environment.
Privacy-preserving technologies for human genome data analysis and dissemination
The goal is to study and develop a suite of innovative and transformative techniques aimed at achieving practical and cost-effective genomic data protection.
Building patient-centered privacy preserving data registries
We propose to develop a framework for patient-centered Statistical Health informAtion RElease (pSHARE) for building patient-centered and privacy preserving statistical data registries for PCOR.
SHARE: Statistical Health Information Release with Differential Privacy
Develop a toolkit for enabling privacy-preserving health information release to cover different data modality and study needs. We will implement innovative and practical techniques for protecting the privacy of human subjects in the large-scale analysis of clinical and public health data.
BioCADDIE: Biomedical and healthCAre Data Discovery and Indexing Engine center
Biomedical and healthcare data sharing efforts are currently impaired. BioCADDIE is a consortium of data producers, curators, publishers, and consumers who will work together to develop practical, sustainable solutions to the problem of biomedical and healthcare data discovery. I am leading a pilot project for data recommendation in BioCADDIE.
Quantify the privacy risk of EHR and develop privacy-preserving algorithms to enable data anonymization and analysis for quality improvement.
Protect privacy of healthcare data in the cloud
Sustainability and privacy are critical concerns in handling large and growing healthcare data. New challenges emerge as new paradigms like cloud computing become popular for cost-effective storage and computation. This project will develop an advanced framework to combine rigorous privacy protection and encryption techniques to facilitate healthcare data sharing in the cloud environment.
Privacy-preserving technologies for human genome data analysis and dissemination
The goal is to study and develop a suite of innovative and transformative techniques aimed at achieving practical and cost-effective genomic data protection.
Building patient-centered privacy preserving data registries
We propose to develop a framework for patient-centered Statistical Health informAtion RElease (pSHARE) for building patient-centered and privacy preserving statistical data registries for PCOR.
SHARE: Statistical Health Information Release with Differential Privacy
Develop a toolkit for enabling privacy-preserving health information release to cover different data modality and study needs. We will implement innovative and practical techniques for protecting the privacy of human subjects in the large-scale analysis of clinical and public health data.
BioCADDIE: Biomedical and healthCAre Data Discovery and Indexing Engine center
Biomedical and healthcare data sharing efforts are currently impaired. BioCADDIE is a consortium of data producers, curators, publishers, and consumers who will work together to develop practical, sustainable solutions to the problem of biomedical and healthcare data discovery. I am leading a pilot project for data recommendation in BioCADDIE.
