Staff Profile

I joined the PHSI Biostatistics Research Group in January 2021 as a Research Associate working with Professor James Wason. I am interested in the development of novel clinical trial designs and will be working on a mixture of methodological research (in the area of precision medicine) and applying new methods in practice. 

Qualifications: 

PhD Statistics and Operational Research, STOR-i Centre for Doctoral Training, Lancaster University

• Thesis Title: Bayesian Bandit Models for the Design of Clinical Trials
• Supervisors: Prof. Thomas Jaki (Statistics) and Dr. Peter Jacko (Management Science)

MRes Statistics and Operational Research, STOR-i Centre for Doctoral Training, Lancaster University

BSc Mathematics, Department of Mathematics and Statistics, Lancaster University

My research interests include, but are not limited to, the following areas:

1. The use of response-adaptive randomisation in clinical trials;
2. Personalising treatment allocation in clinical trials;
3. Overcoming barriers which prevent the application of novel trial designs in practice.

Google scholar: click here

• Stallard N, Hampson L, Benda N, Brannath W, Burnett T, Friede T, Kimani PK, Koenig F, Krisam J, Mozgunov P, Posch M, Wason J, Wassmer G, Whitehead J, Williamson SF, Zohar S, Jaki T. Efficient Adaptive Designs for Clinical Trials of Interventions for COVID-19. Statistics in Biopharmaceutical Research 2020, 12(4), 483-497.
• Williamson SF, Villar SS. A response-adaptive randomization procedure for multi-armed clinical trials with normally distributed outcomes. Biometrics 2019, 76(1), 197-209.
• Williamson SF, Jacko P, Villar SS, Jaki T. A Bayesian adaptive design for clinical trials in rare diseases. Computational Statistics and Data Analysis 2017, 113, 136-153.