Daniel Fabbri, Ph.D., is an Assistant Professor of Biomedical Informatics in the School of Medicine at Vanderbilt University. He is also an Assistant Professor of Computer Science in the School of Engineering. His research focuses on database systems and machine learning applied to electronic medical records and clinical data. He developed the Explanation-Based Auditing System, which uses data mining techniques to help hospital compliance officers monitor accesses to electronic medical records in order to identify inappropriate use. He received a National Science Foundation Innovation Corps award to commercialize this auditing technology at Maize Analytics. Beyond research, he has participated in the A World In Motion program, which teaches elementary and middle school children physics through weekly interactive experiments such as building toy cars powered by balloons.
He received his doctorate in computer science from the University of Michigan, Ann Arbor and a bachelor of science in computer science and engineering from the University of California, Los Angeles. Prior to joining Vanderbilt, he interned at Google, Microsoft Research, Goldman Sachs, Lockheed Martin and Yahoo.
Students interested in research topics on machine learning, data management and the security of electronic medical records and clinical data? Please consider applying to the Vanderbilt Biomedical Informatics or Computer Science graduate programs.
Selected Invited Talks:
- The Open Web Application Security Project, Chicago, 2014.
- Safeguarding Health Information: Building Assurance through HIPAA Security, U.S. Health and Human Services Department, Washington D.C., 2013.
- Archimedes Workshop on Medical Device Security, University of Michigan, Ann Arbor, 2013.