Invited Seminar, Department of Mathematics, Chalmers University of Technology, Gothenburg, Sweden
A talk focused around timing when copy number alterations occurred using deep whole genome sequencing data.
Invited Seminar, Early Cancer Institute, Cambridge, UK
An invited seminar on how understanding a cancer’s evolutionary history may help determine its evolutionary trajectory and help personalise a patient’s risk of progression.
Short Talk, London Mathematical Biology Conference, Francis Crick Institute, London, UK
A talk on using Bayesian inference to infer the evolutionary history of ~2,000 lymphoid cancers.
Contributed Talk, European Conference on Mathematical and Theoretical Biology 2024, Toledo, Spain
A discussion of our research coupling Bayesian inference and methylation-based lineage markers to learn the evolutionary history of a cancer.
Contributed Talk, Joint Annual Meeting of the Korean Society for Mathematical Biology and the Society for Mathematical Biology 2024, Seoul, South Korea
A talk on our work using stochastic modelling of epigenetic data to infer a cancer’s evolutionary history at scale.
Invited Speaker, Cell Lineages Across Scales, Space and Time, Royal Society, Birmingham, UK
A talk focused on our discovery of fCpGs as a powerful and general tool to track lineages in vivo using low-cost, bulk methylation samples.
Poster, Probabilistic Modeling in Genomics Conference, Vienna, Austria
Presented a poster on using Bayesian inference to infer cancer evolution from bulk methylation data.
Oral Plenary Speaker, Pathology and Precision Medicine, Royal Society of Medicine, London, UK
A talk focused on our new tool, CARBINE, which uses the frequency of point mutations to time copy number changes in real time. Awarded 1st prize.
Invited Guest Speaker, CRUK Convergence Science Centre, Imperial & ICR, London, UK
A talk describing our recent work to measure a cancer’s evolutionary history using low-cost, readily availible methylation array data.
Poster, London Mathematical Biology Conference, University College London, London, UK
A poster on applying stochastic mathematical models to fluctuating methylation data to infer cancer evolution.
Invited Guest Speaker, Crick Evolution Forum, Francis Crick Institute, London, UK
An extended talk covering the full breadth of our fluctuating methylation clock research, including their use to probe clonal dynamics in intestinal tissue (doi.org/10.1038/s41587-021-01109-w), and unpublished research extending this to multi-region samples using phylogenetic approaches and to assay the evolutionary history of blood cancers.
Talk, Physics of Life 2023, Institute of Physics, Harrogate, UK
Presented recent work on measuring the evolutionary history of lymphoid cancers.
Minisymposium, Mathematical Models in Ecology and Evolution Conference, University of Reading, Reading, UK
Organised a minisymposium to spotlight recent attempts to quantitatively interpret lineage tracing data in cancer.
Summer School, Centre International de Rencontres Mathematiques, Marseille, Marseille, France
Attended an interactive summer school focused on cancer evolution, specifically applying mathematics to experimental and clinical data.
Talk, Cancer Systems Biology Consortium West Coast Symposium 2022, San Diego CA, USA
A short talk presenting our work on measuring contemporary cell dynamics with fluctuating methylation clocks (FMCs).
Talk, Society of Mathematical Biology,
A minisymposium talk presenting work in progress applying methylation based lineage marks to uncover stem cell dynamics in human colon.
Workshop, CSBC/PS-ON Image Analysis Working Group, Vanderbilt University, Nashville TN, USA
A hackathon surrounding image analysis in the context of cancer research, particularly focused on cell segmentation and cell type identification.
Poster, Junior Investigator Meeting, Physical Sciences - Oncology Network, Washington DC, USA
Presented a poster detailing proof-of-principle that the methylation patterns at specific sites across the genome encode the stem cell dynamics of an intestinal crypt.
Workshop, Moffitt Cancer Center, Tampa FL, USA
A week-long workshop focused on mathematical and computational modelling of evolutionary therapeutic approaches.