Biography
Alex is a Postdoctoral Research Associate working with Professor Alison Noble focusing on developing and evaluating methods for Learning to Defer in healthcare. In this setting, a machine learning model can choose to defer its decision to a human expert based on cost and uncertainty.
He conducted his PhD at Imperial College London studying trusted and reliable machine learning methods for remote healthcare monitoring. This work was supervised by Payam Barnaghi as part of the UK Dementia Research Institute.
Before Alex's doctoral research, he completed a BSc in Mathematics at UCL and an MSc in Applied Mathematics at Imperial.
Current Research Project
Learning to Defer in Healthcare: Developing and evaluating methods for the automatic prediction or deferral to human experts of samples, ensuring the most efficient allocation of resources whilst providing the most effective care.
Research Interests
Machine learning for healthcare
Human-AI collaboration
Remote healthcare monitoring
