Summary

Hello! I’m a PhD researcher investigating the use of machine learning in large datasets to address depression heterogeneity across the life-course. My project is part of the UKRI AI for Biomedical Innovation CDT at the University of Edinburgh.

I have a background in engineering, with a BEng degree in Electronics Engineering from Durham University and an MSc in Human and Biological Robotics from Imperial College London. For my Master’s thesis, I developed a phone app to monitor and support children and young people’s mental health during the COVID-19 lockdowns.

Before starting my PhD, I worked in technical communications for software products, first as a Technical Writer at Microsoft, then as a Documentation Engineer at Imagination Technologies.

Outside of work and studies, I enjoy playing videogames, writing, and taking my very spoiled dog on nature walks.

Education

PhD AI for Biomedical Innovation

September 2024
Present

University of Edinburgh

MSc Human and Biological Robotics

September 2019
September 2020

Imperial College London

BEng General Engineering

September 2016
July 2019

Durham University

Research interests

Machine Learning Mental Health Major Depressive Disorder Psychiatric Epidemiology Disease Heterogeneity Longitudinal Modelling