Raphael Rehms

Raphael earned his MSc and PhD in Statistics from LMU Munich and the Institute for Medical Information Processing, Biometry, and Epidemiology (IBE). During his PhD, he developed probabilistic approaches to model complex uncertainty patterns in epidemiological and medical data.

Interests: 

• Probabilistic machine learning
• Uncertainty quantification
• Bayesian inference

Education: 

• PhD in Statistics and Epidemiology from IBE and Institute for Statistics (LMU Munich)
• MSc in Statistics (LMU Munich)
• BSc in Economics (LMU Munich)