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.
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 Single-Cell Data Using Multivariate Information Measures, Cell Systems, Vol:5, ISSN:2405-4712, Pages:251-267.e3
et al., 2017, Stem Cell Differentiation as a Non-Markov Stochastic Process, Cell Systems, Vol:5, ISSN:2405-4712, Pages:268-+
Babtie AC, Stumpf MPH, 2017, How to deal with parameters for whole-cell modelling, Journal of the Royal Society Interface, Vol:14, ISSN:1742-5689