2026
- Making Genetic Testing Privacy Policies Easier to Read! And Understand? Leveraging LLMs to Improve Readability Through Summarization. Proceedings of the 59th Hawaii International Conference on System Sciences | 2026, 2026, 3829-3838 more…
M.Sc. Nils Neß
- E-mail: nils.ness@tum.de
Biography
I am Nils Neß, a Research Associate and PhD Candidate at TUM Campus Heilbronn. I hold a Master’s degree in Industrial Engineering from Karlsruhe Institute of Technology (KIT), specializing in (Gen)AI, ethical AI, and human-computer interaction (HCI). Prior to my current role, I gained experience as a student assistant at KIT, a working student in data analytics at Netze BW, and through internships at EY and SICK AG.
Currently, my research focuses on Human LLM communication, where I explore how large language models (LLMs) can improve the understanding and interaction with complex texts in the healthcare domain.
Projects
- Infrastructures @ IH10
Summer term 2026
| Title | Dates | Type | Lecturer (assistant) |
|---|---|---|---|
| Bachelor Practical Course Human-Centered Artifact Design (INHN0021, INHN4061) |
|
PR | |
| Master Seminar Digital Transformation (CITHN7501, INHN4507) |
|
SE |