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Bradley Malin, Ph.D. Vanderbilt University Associate Professor of Biomedical Informatics & Computer Science Vice Chair for Research in the Dept. of Biomedical Informatics Director of the Health Information Privacy Laboratory Research (Areas: Data Mining, Privacy, Biomedical Informatics) I have broad research interests in data mining, management, and trustworthy computing. The majority of my research focuses on the construction and evaluation of data privacy models for personal information that is collected, stored, and shared in large complex systems. My goal is to design technology that is accountable to organizational, social, and legal regulations. I am particularly interested in 1) anomaly detection strategies for electronic medical records and 2) sharing clinical and genetic information for research purposes without violating privacy expectations. Students Check out the people page at the lab's home on the Web. Teaching Fall 2013: Foundations of Biomedical Informatics (BMIF-300) [team taught] Spring 2014: Data Privacy in Biomedicine (BMIF-380 / CS-396)

Service

Editorial Board, Journal of the American Medical Informatics Association

• Guest editorial for the special issue on biomedical data privacy

Editorial Board, Methods of Information in Medicine

Editorial Board, Transactions on Data Privacy

Editorial Board, Proceedings of the Very Large Data Bases Endowment (PVLDB)




Scientific Program Committee


• AMIA: American Medical Informatics Association Annual Symposium
• ICDM: IEEE International Conference on Data Mining
• PADM: IEEE International Workshop on Privacy Aspects of Data Mining (@ ICDM)
• PAKDD: Pacific-Asia Conference on Knowledge Discovery and Data Mining
• PAIS: International Workshop on Privacy and Anonymity in the Information Society(@ EDBT)
• PSD: International Conference on Privacy in Statistical Databases
• W2SP: Web 2.0 Security & Privacy Workshop (@ IEEE Security & Privacy)

Positions Available

Post-doctoral researchers, Ph.D. students, and programmers. Work on biomedical data privacy, data mining, and systems implementation. Contact me for details.

News Story ...

... including my take on genomics and data security (6/2013)

... on my work with the Office for Civil Rights at the U.S. Department of Health and Human Services (12/2012)

... including my research and views in Genome Technology magazine's cover story on privacy (5/2011)

Invited Talk ...

... at NIH's Big Data to Knowledge Workshop (9/11/2013)

... at Carnegie Mellon University (9/26/2013)

... at University of Pittsburgh's IRB State of the Science Meeting (9/27/2013)

... at University of Arkansas for Medical Sciences (10/21/2013)

Recent Letter to Science...

"Data Re-identification: Societal Safeguards"

Recent Accepted Papers...

...to the ACM Symposium on Access Control Models and Technologies (SACMAT):
"Evolving Role Definitions Through Permission Invocation Patterns"

...to the IEEE International Conference on Big Data:
"Scalable and Robust Key Group Size Estimation for Reducer Load Balancing in MapReduce"

...to the IEEE Transactions on Knowledge and Data Engineering:
"Composite Bloom Filters for Secure Record Linkage"

...to PLoS One:
"Enabling Genomic-Phenomic Association Discovery Without Sacrificing Anonymity"