I am Heidi Seibold, a Statistician working at LMU Munich.
My research is about tree and forest methods (specifically model-based trees and forests), which are statistical/machine learning methods. I work in the medical field and specialise in the estimation of personalised treatment effects (see also personalised medicine). That means I develop statistical methods that can detect patient characteristics that influence the effectiveness of a drug (or another treatment) and then estimate how well the treatment works for the individual patient.
I am enthusiastic about Open Science and Open Source Software (especially R).
