Velten Group Multi-factorial data analysis & machine learning for the life sciences

Britta is a tenure-track-professor for Multifactorial Data Analysis and Machine Learning in the Life Sciences at the Centre for Organismal Studies (COS) and the Centre for Scientific Computing (IWR) of Heidelberg University. Trained as a mathematician, she obtained a PhD in Statistics from ETH Zurich and European Molecular Biology Laboratory (EMBL) working with Peter Bühlmann and Wolfgang Huber. Afterwards she did her Postdoc at the German Cancer Research Center and the Wellcome Sanger Institute in Cambridge.

In her research, Britta aims to enable insights into fundamental biological processes by leaveraging statistical reasoning in combination with modern machine learning and advance the methodology to address challenges in their application to the life sciences. Learn more about our research here.

Outside of work, Britta enjoys spending time in the mountains for climbing, hiking, biking and ski-mountaineering.

Search for Britta Velten's papers on the Publications page