PD Dr. Fabian Prasser

fabian.prasser@tum.de

Venia Legendi in Medical Informatics (Priv.-Doz.), TUM
Habilitation in Medical Informatics (Dr. rer. nat. habil.), TUM
Doctorate in Computer Science (Dr. rer. nat.), TUM
Degree in Computer Science (Dipl.-Inform.), TUM

Focus of Work:

Information Systems for Research, Knowledge and Information Management, Information Integration, Database Systems, Data Privacy, Data Anonymization and De-Identification

01/2013 - Postdoctoral Researcher, Chair of Medical Informatics, Institute of Medical Statistics and Epidemiology, TUM
08/2012 – 10/2012 Research Assistant, Chair for Database Systems, Department of Computer Science, TUM
01/2009 – 07/2012 Doctoral Studies, Scholarship Holder, Graduate School of Information Science in Health, TUM

GI Gesellschaft für Informatik e.V. (German Assoc. Computer Science), Member
GMDS German Association for Medical Informatics, Biometry, and Epidemiology, Member

Selected Publications

  1. Prasser F, Kohlbacher O, Mansmann U, Bauer B, Kuhn KA. Data Integration for Future Medicine (DIFUTURE). Methods of Information in Medicine. 2018 Jul;57(S 01):e57-65. doi: 10.3414/ME17-02-0022
  2. Bild R, Kuhn KA, Prasser F. SafePub: A Truthful Data Anonymization Algorithm With Strong Privacy Guarantees. Proceedings on Privacy Enhancing Technologies. 2018 Jan 1;2018(1):67-87. doi: 10.1515/popets-2018-0004
  3. Prasser F, Gaupp J, Wan Z, Xia W, Vorobeychik Y, Kantarcioglu M, Kuhn KA, Malin B. An Open Source Tool for Game Theoretic Health Data De-Identification. AMIA Annual Symposium Proceedings 2017 (Vol. 2017, p.1430). American Medical Informatics Association.
  4. Prasser F, Kohlmayer F, Spengler H, Kuhn KA. A scalable and pragmatic method for the safe sharing of high-quality health data. IEEE Journal of Biomedical and Health Informatics 2018 Mar;22(2):611-622. doi: 10.1109/JBHI.2017.2676880.
    F Prasser received the Johann Peter Süßmilch-Medal of the German Association of Medical Informatics, Biometry and Epidemiology (GMDS) for this work.
  5. Prasser F, Bild R, Kuhn KA. A generic method for assessing the quality of de-identified health data. Proc MIE 2016 at HEC 2016. August 2016. IOS Press. doi: 10.3233/978-1-61499-678-1-312.
    F Prasser received the Peter L Reichertz Prize of the European Federation of Medical Informatics for this work.
  6. Prasser F, Kohlmayer F, Kuhn KA. Efficient and effective pruning strategies for health data de-identification. BMC Med Inform Decis Mak. 2016 Apr 30;16:49. doi: 10.1186/s12911-016-0287-2.
  7. Lautenschläger R, Kohlmayer F, Prasser F, Kuhn KA. A generic solution for web-based management of pseudonymized data. BMC Med Inform Decis Mak. 2015 Nov 30;15(1):100. doi: 10.1186/s12911-015-0222-y.
  8. Kohlmayer F*, Prasser F*, Kuhn KA. The cost of quality: Implementing generalization and suppression for anonymizing biomedical data with minimal information loss. J Biomed Inform. 2015 Sep 15. doi: 10.1016/j.jbi.2015.09.007.
  9. Prasser F*, Kohlmayer F*, Lautenschläger R, Kuhn KA. ARX - A comprehensive tool for anonymizing biomedical data. AMIA Annu Symp Proc. 2014 Nov 14;2014:984-93.
  10. Prasser F, Kemper A, Kuhn KA. Efficient distributed query processing for autonomous RDF databases. Proc Int Conf Extending Database Technology. 2012 Aug; 372-383. ACM. doi: 10.1145/2247596.2247640 .

(*) F Prasser and F Kohlmayer contributed equally to this work.