Bradley Malin, Ph.D., is the Vice Chair for Research and Professor of Biomedical Informatics at Vanderbilt University. He is also a Professor of Biostatistics, a Professor of Computer Science, and is Affiliated Faculty in the Center for Biomedical Ethics and Society. He co-directs the Health Data Science (HEADS) Center, the Center for Genetic Privacy and Identity in Community Settings (GetPreCiSe) - which is an NIH Center of Excellence in Ethical, Legal, and Social Implications Research (CEER) - and the Big Biomedical Data Science Ph.D. program. He is the founder and director of the Health Information Privacy Laboratory (HIPLab), which was established to address the growing need for data privacy research and development for the health information technology sector.
His research is funded through various grants from the National Science Foundation (NSF), National Institutes of Health (NIH), and Patient Centered Outcomes Research Institute (PCORI) to construct technologies that enable privacy and analytics in the context of real world organizational, political, and health information architectures. To build practical solutions, his work draws upon methodologies in computer science, biomedical science, and public policy to innovate novel computational techniques. In addition to its role as a scientific research program, since 2007, he has led a data privacy consultation service for the Electronic Medical Records and Genomics (eMERGE) network, an NIH consortium. He is the chair of the Commitee on Access, Privacy and Security of the All of Us Research Program of the U.S. Precision Medicine Initiative and an appointed member of the European Medicines Agency Technical Anonymisation Group (TAG).
Dr. Malin's research is in big health data analytics and the infrastructure necessary to support such investigations. He has has made specific contributions to a number of health-related areas, including distributed data processing methods for medical record linkage and predictive modeling, intelligent auditing technologies to protect electronic medical records from misuse in the context of primary care, and algorithms to formally anonymize patient information disseminated for secondary research purposes. Notably, his investigations on the empirical risks to health information re-identification have been cited by the Federal Trade Commission in the Federal Register and certain privacy enhancing technologies he developed have been featured in popular media outlets and blogs, including Nature News, Scientific American, and Wired magazine. He is an elected fellow of the American College of Medical Informatics and was honored as a recipient of the Presidential Early Career Award for Scientists and Engineers (PECASE).
Dr. Malin completed his education at Carnegie Mellon University, where he received a bachelor's in biological sciences, a master's in computer science (with a focus on machine learning), a master's in public policy and management, and a doctorate in computer science (with a focus on databases and software systems).