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What can we learn about cancer by modelling the data on it?

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If you have a question about this talk, please contact Dr Vivien Gruar.

The National Cancer Registration and Analysis Service holds data on all diagnoses and treatments of cancer in England. The Simulacrum project has created models for these datasets, which have been used to generate synthetic data to allow researchers to explore individual-level cancer data without threatening the privacy of individual patients.

You would use statistics and machine learning, together with the data we hold, to look at questions like: What do these models tell us about cancer directly? Can these models identify data quality problems with the underlying data? How can we improve the modelling methodology? Can we be more data-driven while respecting privacy restrictions? What interesting questions might such models suggest people ask?

This talk is part of the Cambridge Mathematics Placements Seminars series.

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