Haghverdi Lab

Haghverdi Lab

Computational methodologies and omic analytics


We develop mathematical and computational methods facilitating extraction of statistically sound knowledge from high-throughput biological data.

We work with a range of single-cell omic data modalities including proteomics, transcriptomics, epigenetics and genomics to study biological systems such as development, haematopoiesis or leukaemic stem cells and their niche. 

Establishment of efficient computational methodologies for analysis of large single-cell omic data sets, resolution of complex lineage trees, data integration and interpretation across multiple modalities and assays as well as mathematical formulation of the applied methods are of central interest in the group.


Group Leader 

Dr. Laleh Haghverdi


Subarna Palit (co- advised, Haas lab)

PhD Students

Fearghal Declan Donaghy

Brigitte Joanne Bouman

Carla Mölbert

Valerie Marot-Lassauzaie

Ehsan Karimiara



Dr. Laleh Haghverdi
Dr. Laleh Haghverdi
Phone: +49 30 9406-1353
Max-Delbrück-Centrum für Molekulare Medizin (MDC)
Hannoversche Straße 28
10115 Berlin, Deutschland
Building 101, Room 2.08