E-Mail: paul.sigloch(at)stud.uni-bamberg.de
Paul Sigloch is a student research assistant at the Chair of AI Systems Engineering and holds a Master's degree in International Software Systems Science. His research interests include hybrid AI systems, privacy, and trustworthy AI for data-sensitive application domains. In his master's thesis, he developed a framework for applying hybrid AI systems in data-sensitive domains, with a particular focus on ensuring information integrity in medical contexts.
At the chair, he develops Elixir applications, including infrastructure for HPC cluster connectivity and tools for automated benchmarking of automated theorem provers. He is also interested in hybrid AI systems, reinforcement learning, and trustworthy AI for data-sensitive domains.
In his spare time, Paul enjoys playing the piano, both as a solo musician and in a band.
Profile: LinkedIn, GitHub
