Dr Philipp Thomas is a Lecturer in Biomathematics. He has recently been awarded a UKRI Future Leaders Fellowship. Previously he was a fellow for the Royal Commission for the Exhibition of 1851. He received a PhD in Applied Mathematics from the University of Edinburgh in 2015. He also serves as an associate editor for Scientific Reports.
Our group develops stochastic methods to understand single cell dynamics and cell-to-cell variability in biological populations.
We are hiring postdocs! Please get in touch informally via email.
et al., 2020, Stationary distributions of continuous-time Markov chains: a review of theory and truncation-based approximations, SIAM Review, ISSN:0036-1445
et al., 2020, bayNorm: Bayesian gene expression recovery, imputation and normalisation for single cell RNA-sequencing data, Bioinformatics, Vol:36, ISSN:1367-4803, Pages:1174-1181
et al., 2019, The exit time finite state projection scheme: bounding exit distributions and occupation measures of continuous-time Markov chains, SIAM Journal on Scientific Computing, Vol:41, ISSN:1064-8275, Pages:A748-A769
et al., 2019, Stochastic modelling reveals mechanisms of metabolic heterogeneity, Communications Biology, Vol:2, ISSN:2399-3642
Thomas P, 2019, Intrinsic and extrinsic noise of gene expression in lineage trees, Scientific Reports, Vol:9, ISSN:2045-2322
et al., 2018, Cell size control driven by the circadian clock and environment in cyanobacteria, Proceedings of the National Academy of Sciences of the United States of America, Vol:115, ISSN:0027-8424, Pages:E11415-E11424
et al., 2018, Sources, propagation and consequences of stochasticity in cellular growth, Nature Communications, Vol:9, ISSN:2041-1723
Thomas P, 2017, Making sense of snapshot data: ergodic principle for clonal cell populations, Journal of the Royal Society Interface, Vol:14, ISSN:1742-5662
Thomas P, 2020, Stochastic Modeling Approaches for Single-Cell Analyses, Systems Medicine: Integrative, Qualitative and Computational Approaches, Editor(s): Wolkenhauer, Elsevier, Oxford, Pages:45-55
et al., 2017, Distribution approximations for the chemical master equation: comparisonof the method of moments and the system size expansion, Modeling Cellular Systems, Editor(s): Graw, Matthaus, Pahle, Springer, Pages:39-39, ISBN:978-3-319-45833-5