Bioinformatics and Genomics
2020-Today Group Leader at the Centre for Genomic Regulation (CRG), Barcelona, Spain
2016-2019 Research Staff Scientist, European Molecular Biology Laboratory, Heidelberg (Germany)
2012-2016 Ph.D. in Genomics, European Molecular Biology Laboratory, Heidelberg (Germany)
2012 M.Sc. in Cancer Biology, German Cancer Research Center, Heidelberg (Germany)
A better understanding of stem cell biology is key to regenerative medicine and oncology alike. While adult stem cells fuel healthy tissue regeneration by indefinite self-renewal and multilineage differentiation, the accumulation of mutations specifically in stem cells is often required for cancer formation. Tissue regeneration and oncogenesis are therefore two sides of the same medal.
The Velten lab uses single-cell genomics, high-throughput genetic screens and artificial intelligence to study the regulation of differentiation programs in hematopoietic and leukemic stem cells. In the past, we have created single-cell atlases of healthy and leukemic bone marrow, we have developed new tools for high-throughput genetic screens in single cells, and we have worked on new approaches for lineage tracing in human stem cell systems. The long-term vision of our lab is to transform stem cell research into a data science discipline, and thereby enable a quantitative, predictive understanding of stem cell biology.
Currently, we are pursuing two main lines of research. Working in the healthy hematopoietic system, we use high-throughput genetic screens to unravel the DNA-encoded logic of gene regulatory elements. Working in acute myeloid leukemia, we attempt to identify cancer stem cell specific drug targets by combining single cell transcriptomics and lineage tracing. We are passionate about integrating experimental and computational approaches in our work.
€2.45 m to investigate leukaemia causes and therapies (11/03/2020).
Together with partners from the University Clinics Heidelberg and the Max Delbrück Center for Molecular Medicine (Berlin), we form part of the LeukoSyStem consortium that was awarded with a prestigious junior research alliance grant by the German government.
We currently have an opening for a postdoc with and interest in deep learning to work on predictive models of gene regulation. Applicants with no prior experience in biology are explicitly encouraged to apply. Please contact Lars Velten directly if you are interested in this position.
Generally, we are very interested in applications of prospective postdocs and PhD students with an interest in hematopoietic stem cell biology, gene regulation, single cell genomics, and/or machine learning.