Sammy Shorthouse
Project title:
A machine learning platform for the personalised treatment of ovarian cancer
Supervisors:
Dr Alessandro Masullo and Dr Erin Dooley, Department of Electrical and Electronic Engineering; Dr James Armstrong, Dr Claire Perks and Dr Neil Ryan, Bristol Medical School
General profile:
In June 2020, I graduated from the University of Sussex with a BSc in Computer Science. Towards the end of my studies, I realised I wanted to learn more about artificial intelligence and applicable research within the field. My final year project at Sussex focused on multi-agent reinforcement learning and designing environments to encourage cooperation and competition. I enjoyed this project but felt I wanted to do research that had a more immediate impact.
I then studied an MSc in Artificial Intelligence at King's College London to deepen my understanding of machine learning techniques. My dissertation used Gaussian processes to predict the diagnosis of sepsis from intensive care unit data, which developed into an exciting and challenging project.
I am eager to further my biological and medical understanding, to combine with my theoretical knowledge of analysing data. My main interests within digital health include using machine learning on big data sets to improve the diagnosis and prognosis of diseases.