👋🏼 Short Bio
Hi, I am Max - Currently undertaking a PhD in AI research while on educational leave from my position as Senior Consultant at McKinsey & Company.
I studied Management at Nova School of Business and Economics and worked as teaching assistant.
I love to travel, try new tech, do sports and enjoy the outdoors
đź§‘ Contact:
- Mail: Maximilian.Rink@tum.de
- LinkedIn: https://www.linkedin.com/in/maximilian-rink
📚 Research Interests:
- Personalization and Privacy in Generative AI: Exploring how AI-driven personalization is perceived by users and how these interact with data protection, privacy concerns, and user autonomy
- Adoption of Generative AI in Regulated Contexts: Examining the acceptance and integration of Generative AI within the German legal system and other highly regulated environments
- Trust, Transparency, and User Acceptance: Investigating the factors that build or hinder trust and transparency in Generative AI systems and how these influence user adoption
đź’Ľ Work experience:
- 2,5 years as Senior Consultant at McKinsey & Company
- Teaching assistant at Nova School of Business and Economics
- Internships in Consulting, Big Tech, Renewable Energy & Tourism
🏫 Educational background:
- M.Sc. in Management (Major: Strategy) at Nova School of Business and Economics (Lisbon)
- B.A. in Business Administration & Tourism Management at University of Applied Sciences Bremerhaven
🎓Supervision
I’m glad to supervise bachelor’s and master’s theses for motivated and curious students who are passionate about AI research. If you’ve discovered a research gap or would like to explore your own ideas within this fascinating area, feel free to get in touch.
❗️ Current open thesis applications
The Privacy–Personalization Paradox in Generative AI: Understanding User Acceptance of Generative AI Systems