I’m a PhD researcher in the United Kingdom, funded by Cancer Research UK. My current work investigates patient responses to radiotherapy treatment across different cancer types. Although this originally started as a computational project, my work with individuals, communities and research organisations has transformed it into a multidisciplinary venture that explores the ethical risks associated with AI and machine learning applications in healthcare settings and beyond. I’m a passionate advocate for open science, reproducibility, and responsible innovation and integrating these concepts throughout research lifecycles.

I’m interested in how we can form a sense of stewardship across our digital lives and how communities can drive change. Particularly how we can explore the ethical implications and dimensions of using technologies to benefit and care for our communities while mitigating harm. I care deeply for the interconnected nature of our world, our politics, our actions, and how they shape our research and our daily lives.

If I’m not working on my research, you can find me in my favourite cafe or rollerskating with my local grassroots rollerderby team.

My Work

My PhD explores predictive biomarkers in medical data, from common genetic variants to CT imaging. With my interest in the FAIR data principles, reproducibility and ethical data practices, I have built a robust and reproducible modular pipeline for investigating medical biomarkers that ensures transparency and facilitates collaboration and validation of findings. With my research group, I have contributed to and been a first tester of our own developed and published Python package scikit-rt for radiotherapy and medical image analysis.

As part of my work with The Turing Way and on my enrichment scheme at the Alan Turing Institute, I contributed to open-access resources for data reproducibility and ethics co-authoring a chapter on the Data Hazards framework and organising a one-day hybrid symposium on ‘Data Hazards, Ethics and Reproducibility Symposium.’ By extension, I am also an active contributor to the Data Hazards Project for an open-source vocabulary for data ethics, and a member of the Data Ethics Club.

Currently Enjoying

Books:

1. Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence - Kate Crawford
2. She Who Struggles: Revolutionary Women Who Shaped the World - Marral Shamshiri and Sorcha Thomson

🌻 Always looking for inspiration 🌻