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. See our group website for details.
Thomas P, Shahrezaei V, 2021, Coordination of gene expression noise with cell size: analytical results for agent-based models of growing cell populations, Journal of the Royal Society Interface, Vol:18, ISSN:1742-5662, Pages:1-16
et al., 2021, Stationary distributions of continuous-time Markov chains: a review of theory and truncation-based approximations, SIAM Review, ISSN:0036-1445
et al., 2020, Computation of single-cell metabolite distributions using mixture models, Frontiers in Cell and Developmental Biology, Vol:8, ISSN:2296-634X, Pages:1-11
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
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