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. Outside his work at the chair, he develops reinforcement learning agents and hybrid AI systems, including applications to algorithmic trading. In his spare time, Paul enjoys playing the piano, both as a solo musician and in a band.
Profile: LinkedIn, GitHub
