Welcome to the Velten Group!
We are an interdisciplinary team of scientists developing statistical methods and machine learning approaches to move from molecular data (‘omics data’) to biological insight.
Complex experimental designs and novel technologies enable researchers to study biological processes at unprecedented resolution and scale. We aim to translate and advance ideas from machine learning and statistics for the analysis of such data and make them available to the research community. Jointly with our collaborators we apply our methods to unravel the molecular underpinnings of organismal function, development, plasticity and diseases.
Our research is funded by the German Research Foundation (DFG) and the Emmy Noether programme.
Highlights
Our Team
We are a small interdisciplinary team with a shared passion for research and the commitment to succeed as a team.
Our Research
Research topics include multi-factorial data analysis, modelling of spatio-temporal data and causal inference to dissect gene regulation.
Publications
Find out more about some recent publications from the group.
Software
Find out more about the software and tools developed by our group.