Identifiability and inference for models in mathematical biology.

18 February 2021
Professor Ruth Baker

Further Information: 

We continue this term with our flagship seminars given by notable scientists on topics that are relevant to Industrial and Applied Mathematics. 

Note the new time of 12:00-13:00 on Thursdays.

This will give an opportunity for the entire community to attend and for speakers with childcare responsibilities to present.


Simple mathematical models have had remarkable successes in biology, framing how we understand a host of mechanisms and processes. However, with the advent of a host of new experimental technologies, the last ten years has seen an explosion in the amount and types of quantitative data now being generated. This sets a new challenge for the field – to develop, calibrate and analyse new, biologically realistic models to interpret these data. In this talk I will showcase how quantitative comparisons between models and data can help tease apart subtle details of biological mechanisms, as well as present some steps we have taken to tackle the mathematical challenges in developing models that are both identifiable and can be efficiently calibrated to quantitative data.

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  • Industrial and Applied Mathematics Seminar