Stephen Meisenbacher

Stephen Meisenbacher is a Research Associate at the Technical University of Munich (TUM), affiliated with the School of Computation, Information and Technology and the Department of Computer Science, I19. He has been part of the Software Engineering for Business Information Systems (SEBIS) chair since March 2022.

His research focuses on Privacy-Preserving Natural Language Processing (NLP), Differential Privacy, and Privacy-Enhancing Technologies (PETs), with a particular interest in their integration into software development and business applications. His work also explores Hybrid, Expert-Driven Classification Systems and Usable Privacy solutions.

Stephen’s recent publications address trends in AI Privacy Risks, Text Rewriting with DP, Legal AI Use Cases, and Data Protection Compliance. He has contributed to GDPR-related research and PETs adoption in small enterprises.

His teaching includes Natural Language Processing seminars and Software Engineering lecture courses for Master’s and Bachelor’s students at TUM. He also organizes Entrepreneurship for Small Software-Oriented Enterprises seminars.

Stephen holds a Master’s in Informatics from TUM (DAAD Graduate Scholarship) and a Bachelor’s in Computer Science from the University of Notre Dame, with additional studies in German Language and Literature.

Contact: stephen.meisenbacher@tum.de | LinkedIn