Student
Sam Williams

Sam graduated from the University of Bath with an MMath degree

Sam graduated from the University of Bath with an MMath degree. Throughout his time at Bath, he focussed on the Statistics and Algebra streams. He completed his Masters project with Professor Gregory Sankaran, with whom he studied Interpolation for Brill-Noether curves. During his degree, Sam spent time working on the Measuring National Well-being project for the Office for National StatisticsHis current interests lay in Bayesian Statistics and Algebraic Statistics. Outside of maths, Sam spends a lot of time reading – mostly contemporary and translated fiction. Before maths took over his life, Sam was also an avid mountain biker and is determined to find the time to start this again.

Research project title:
Exploring adaptive enrichment in clinical trials

Supervisor(s):
Tom Burnett, Chris Jennison, and Ian Wadsworth (Phastar)

Project description:
Adaptive enrichment is a method in clinical trials to try and capture the effect of treatment on pre-specified sub-populations of patients. This can hopefully help people find the correct treatment for their illness more quickly, especially when there are multiple available treatments on the market. This project aims to explore in what ways can we make adaptive enrichment designs more generalisable and flexible. In particular, we aim to investigate how Bayesian decision theory can help inform the optimal trial design. Other areas of interest for this project are continuous bio-markers, alternative estimators for treatment effect, and how we can streamline the post-trial process.