Privacy Preserving Data Integration Strategies

Professor Bradley Malin, Vanderbilt University (Nashville, USA), will speak on "Towards Practical Private Data Integration and Analysis" 4pm 26 August 2013, in the famous room N101 at the Australian National University in Canberra.

Towards Practical Private Data Integration and Analysis

Assoc Prof Bradley Malin (Vanderbilt University, Nashville)

DATE: 2013-08-26
TIME: 16:00:00 - 17:00:00
LOCATION: CSIT Seminar Room, N101

ABSTRACT:

Over the past decade, it has been repeatedly demonstrated that data devoid of explicit identifiers can be linked back to the identities of the individuals from which it was derived. This has made organizations increasingly apprehensive about sharing person-specific information. Yet, with the dawn of the big data age upon us, it is imperative that data sharing proliferate to ensure that researchers can validate published research findings, combine datasets to discover novel associations, and comply with open data initiatives. In this talk, I will review recent research on privacy preserving data integration strategies that are efficient, effective, and obscure personal identities in the process. This talk will further illustrate how such integration can enable biomedical association studies while obfuscating the identities of the corresponding participants.

BIO:

Bradley Malin, Ph.D., is the Vice Chair for Research and an Associate Professor of Biomedical Informatics in the School of Medicine at Vanderbilt University. He is also an Associate Professor of Computer Science in the School of Engineering and is Affiliated Faculty in the Center for Biomedical Ethics and Society. He is the founder and current director of the Health Information Privacy Laboratory (HIPLab), conducts technologies that enable privacy in the context of real world organizational, political, and health information architectures. Dr. Malin's research has been cited by the U.S. Federal Trade Commission and featured in popular media outlets, including Nature News, Scientific American, and Wired magazine. He has received several awards of distinction from the American and International Medical Informatics Associations and, in 2009, he was honored as a recipient of the Presidential Early Career Award for Scientists and Engineers (PECASE), the highest honor bestowed by the U.S. government on outstanding scientists and engineers beginning their independent careers. Dr. Malin completed his education at Carnegie Mellon University in Pittsburgh, PA, where he received a bachelor's in biological sciences, a master's in data mining and knowledge discovery, a master's in public policy and management, and a doctorate in computer science.