Jan Speller

Dr. Jan Speller is a researcher at the Department of Mathematics and Computer Science, University of Münster. Their work focuses on Explainable Artificial Intelligence (XAI), hierarchical factor graph analysis, statistical boosting algorithms, and robust regression methods.

• Affiliation: Institute of Computer Science, University of Münster
• Contact: jan.speller@uni-muenster.de | Room 603 | +49 251 83-33747

Research interests center on bridging human understanding and AI systems through probabilistic graphical models (PGMs), particularly via the HAPPI project, which explores model reconciliation techniques to align AI learning with expert expectations in domains like medicine and humanities.

Recent publications highlight contributions to robust gradient boosting frameworks, quantile-based loss functions, and model deselection strategies. Their work intersects algorithmic innovation and practical applications in biostatistics and AI.