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.
Dr. Laleh Haghverdi
Subarna Palit (co- advised, Haas lab)
Fearghal Declan Donaghy
Brigitte Joanne Bouman