Tizian Matschak


Curriculum Vitae


Academic CV

  • Since 03/2021 Ph.D. Candidate at Chair of Information Security and Compliance, University of Göttingen
  • 10/2018 - 03/2021 Master Studies in Business Information Systems, University of Göttingen
  • 09/2019 - 01/2020 Master Studies in Business Intelligence and Machine Learning, EFREI Paris
  • 10/2015 - 10/2018 Bachelor Studies in Business Information Systems, University of Göttingen


Work Experience

  • Since 03/2021 Research Associate, Chair of Information Security and Compliance, University of Göttingen
  • Since 10/2020 Freelance Consultant, Business Engineering Institute St. Gallen AG
  • 01/2020 - 03/2021 Graduate Assistant, Chair of Information Security and Compliance, University of Göttingen
  • 02/2020 - 06/2020 Internship, Strategy and Digitalization - IT-Strategy, zeb.rolfes.schierenbeck.associates, Frankfurt a.M.
  • 03/2019 - 06/2019 Internship, Forensic data analytics and process mining - Financial Advisory Analytics, Deloitte, Frankfurt a.M.
  • 10/2018 - 01/2020 Student Assistant, Cyber security and GDPR, Laserlaboratorium Göttingen
  • 02/2018 - 05/2018 Internship, Data Management - Aviation Consulting, umlaut SE (formerly P3 Group), Hamburg
  • Since 11/2016 Student Consultant, Consulting Team e. V., Göttingen


Selected Publications


    2023
  • Aslan, A.; Matschak, T.; Greve, M.; Trang, S.; Kolbe, L. (2023): At What Price? Exploring the Potential and Challenges of Differentially Private Machine Learning for Healthcare (HICSS 2023), Hawaii, USA [VHB 3: C]
  • 2022
  • Matschak, T.; Rampold, F.; Hellmeier, M.; Prinz, C.; Trang, S. (2022): Digitization Pipeline for Mixed-Typed Documents Using Machine Learning and Optical Character Recognition (DESRIST 2022), St. Petersburg, USA [VHB 3: C]
  • Matschak, T.; Prinz, C.; Trang, S. (2022): A Taxonomy of Machine Learning-based Fraud Detection Systems (ECIS 2022), Timisoara, Romania [VHB 3: B]
  • Matschak, T.; Prinz, C.; Rampold, F.; Trang, S. (2022): Show Me Your Claims and I'll Tell You Your Offenses: Machine Learning-Based Decision Support for Fraud Detection on Medical Claim Data. Proceedings of the 55th Hawaii International Conference on System Sciences (HICSS 2022), Hawaii, USA [VHB 3: C]
  • Matschak, T.; Pfaff, T. (2022): The Role of Situational Risk Propensity in Technology Threat Avoidance Behavior. Wirtschaftsinformatik 2022 Proceedings (WI 2022), Nürnberg, Germany [VHB 3: C]
  • Niedzela, L.; Nake, L.; Matschak, T. (2022): Categories of Approaches for IT Security Investment Decisions: A systematic literature review. Wirtschaftsinformatik 2022 Proceedings (WI 2022), Nürnberg, Germany [VHB 3: C]
  • 2021
  • Kuehnel, S.; Sackmann, S.; Trang, S.; Nastjuk, I.; Matschak, T., Niedzela, L., Nake, L. (2021): Towards a business process-based economic evaluation and selection of IT security measures, CEUR Workshop Proceedings [International Conference on Business Information Systems], Aachen, Germany
  • Matschak, T.; Prinz, C.; Masuch, K.; Trang, S. (2021): Healthcare in Fraudster's Crosshairs: Designing, Implementing and Evaluating a Machine Learning Approach for Anomaly Detection on Medical Prescription Claim Data, Proceedings of the 25th Pacific Asia Conference on Information Systems (PACIS), Dubai, VAE [VHB 3: C]

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