Maximiliane Windl

Maximiliane Windl is a researcher at Ludwig-Maximilians-Universität München, specializing in Usable Privacy and Human-Computer Interaction. Her work focuses on designing effective mechanisms for user data sharing, privacy-preserving technologies, and developing quantitative analysis tools in the field of Digital Musicology. As a doctoral candidate, she has published multiple academic papers in related fields and actively contributes to research on user privacy perceptions and data transparency. Maximiliane Windl is dedicated to promoting a deep integration of technology and user needs to enhance both user experience and privacy protection.

• Present·Ludwig-Maximilians-Universität München·Researcher
  • Engaged in academic research in the fields of Usable Privacy and Human-Computer Interaction, developing data sharing mechanisms and privacy-preserving technologies, participating in conferences and publications.

• Present·Ludwig-Maximilians-Universität München·Doctoral Candidate
  • Specializing in Human-Computer Interaction and Usable Privacy
• Previous | Ludwig-Maximilians-Universität München | Master of Science
  • Focused on Digital Musicology and data analysis-related areas