About Me
Hello! I'm Zoe Hancox. I'm currently a PhD student at the University of Leeds. I am part of the UKRI Centre for Doctoral Training in Artificial Intelligence for Medical Diagnosis and Care. My PhD project title is: Temporal Graph-based Convolutional Neural Networks for Electronic Healthcare Record Prediction. If I'm not studying you'll find me doing yoga, jogging, gardening, reading dystopian or fantasy novels, or making wacky greeting cards.
Current Research
My research revolves around using graphs (also called networks, the kind where nodes are linked via edges) to analyse data or make predictions of health outcomes. In particular I'm trying to create temporal graphs and apply 3D convolutional neural networks to make predictions of health outcomes such as hip replacement using patient historical electronic healthcare records.
Current Roles
Applications and Implications of Artificial Intelligence (AI^2) President: I am the conceptualiser and founder of the Applications and Implications of Artificial Intelligence (AI^2) Forum at the University of Leeds.
What is the AI^2 forum? The Applications and Implications of Artificial Intelligence (AI^2) forum aims to bring students and researchers together to talk about different areas of AI and data science. We use it allow likeminded researchers to network, give people the opportunity to deepen their knowledge and share ideas. We hold this forum on the last Wednesday of every month from 4-6pm. We also hold sessions with representatives from industry, where these representatives speak about their career pathway, the company they work at and any work they are undertaking that uses AI.
If you want to find out more you can read our blog summarising some of our sessions.
Journal Club Co-Chair: I co-chair and help arrange weekly journal clubs for the CDT.
Teaching Assistant: I assist lecturers in marking, giving feedback and teaching in various computer science and health informatics modules within the University.