Imperial College London

Dr Ann Babtie

Faculty of Natural SciencesDepartment of Life Sciences








Sir Ernst Chain BuildingSouth Kensington Campus





I am a BBSRC-funded research fellow based in the Theoretical Systems Biology group at Imperial College. I use a variety of mathematical and statistical approaches to study the structure and regulation of biological networks. My current research focuses on developing methods to analyse single-cell transcriptomic data, and approaches to assess uncertainty in mathematical models of biological systems.



Fidanza A, Stumpf PS, Ramachandran P, et al., 2020, Single cell analyses and machine learning define hematopoietic progenitor and HSC-like cells derived from human PSCs, Blood, Vol:136, ISSN:0006-4971, Pages:2893-2904

Babtie AC, 2019, Modelling heterogeneous intracellular networks at the cellular scale, Current Opinion in Systems Biology, Vol:16, ISSN:2452-3100, Pages:10-16

Chan TE, Stumpf MPH, Babtie AC, 2019, Gene Regulatory Networks from Single Cell Data for Exploring Cell Fate Decisions., Methods Mol Biol, Vol:1975, Pages:211-238

Babtie AC, Chan TE, Stumpf MPH, 2017, Learning regulatory models for cell development from single cell transcriptomic data, Current Opinion in Systems Biology, Vol:5, ISSN:2452-3100, Pages:72-81

Chan TE, Stumpf MPH, Babtie AC, 2017, Gene regulatory network inference from sngle-cell data using multivariate information measures, Cell Systems, Vol:5, ISSN:2405-4712, Pages:251-267.e3

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