Background

Sam’s academic journey began at the University of Cambridge, where she completed her MMath (BA + Part III), focusing on pure mathematics and theoretical physics. Her curiosity in the universe’s mysteries led her to the Max-Planck-Institut für Astrophysik for PhD in Physics (Theoretical Cosmology).

Alongside, Sam dabbled in the field of neuroscience through Natural Language Processing and Bayesian modeling projects at Cambridge’s Brain Mapping Unit and the Behavioural and Clinical Neuroscience Institute.

Research interests 

Sam now channels her quantitative skills into healthcare research. She finds immense joy in linking concepts across diverse disciplines, from biostatistics to economics, computer science, physics, and more, using insights from various fields to illuminate and address gaps in healthcare data science.

Presently affiliated with the Cardiovascular Epidemiology Unit, Centre for Cancer Genetic Epidemiology, and soon also the MRC Biostatistics Unit, Sam’s research spans:

• Analysing national electronic health records to understand COVID-19’s impact
• Developing new methods for early cancer detection
• Enhancing clinical decision support systems by effectively quantifying and managing uncertainties

Above all, Sam’s aspiration is to make a tangible difference in people’s lives through her research.

Publications

For a list of Sam’s publications, visit her ORCID profile.