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Stephen Meisenbacher

Last modified Jul 18

Faculty of Informatics
Chair of Informatics 19
Software Engineering for Business Information  Systems (sebis)    

Technical University of Munich
Boltzmannstraße 3
85748 Garching, Germany

stephen.meisenbacher [at]

Room FMI  01.12.040

Office hours: by appointment

I currently do not offer any thesis topics.


Curriculum Vitae

Stephen Meisenbacher has been a research associate at the chair for Software Engineering of Business Information Systems at the Technical University of Munich since March 2022. Stephen earned his Master's degree in Informatics at TUM, having concentrated his studies in Machine Learning and Data Analytics. His Master Thesis involved identifying the practical challenges in the implementation of technical measures for data privacy compliance. Before coming to Munich, Stephen earned his Bachelor's of Computer Science at the University of Notre Dame in Indiana, USA. There, he also majored in German Language and Literature, and his honors senior thesis aimed to investigate the strengths and limitations of NLP techniques in the identification of irony in German literature. His Bachelor studies also included three summers in Berlin, as well as a semester at Universität Heidelberg. More recently, Stephen has gained valuable experience in his work as a data science consultant to Loyola University Chicago in Chicago, Illinois.


Research Interests

  • Natural Language Processing: Hybrid, Expert-Driven Classification Systems
  • Natural Language Processing: LegalTech
  • Private NLP
  • Privacy, Data Protection, and Privacy-Enhancing Technologies
  • Computational Ethics


Teaching (in reverse chronological order)

Term Level Title Type Role
SS 22 Master Natural Language Processing - Methods and Applications Seminar Advisor
SS 22 Master / Bachelor  Entrepreneurship for small software-oriented enterprises Seminar Organizer
SS 22 Master Software Engineering for Business Applications (SEBA Master) Lab Course Advisor




Klymenko, O.; Meisenbacher, S.; Matthes, F.: Differential Privacy in Natural Language Processing: The Story So Far. In Proceedings of the Fourth Workshop on Privacy in Natural Language Processing, pages 1–11, Seattle, United States. Association for Computational Linguistics. 2022.


Meisenbacher, S.: Identifying Practical Challenges in the Implementation of Technical Measures for Data Privacy Compliance - Master's ThesisTechnische Universität München, Munich, Germany, 2022.