2019 Cohort



Student Project name Supervisor(s

Ed Barker

Improving early recognition, management, outcome prediction, and antimicrobial prescribing for sepsis, using a Bayesian statistical learning and prediction model

Romana Burgess

A computational approach to understanding interactions between parents and infants

  • Professor Ian Nabney, Department of Computer Science
  • Dr Rebecca Pearson, Bristol Medical School (honorary)
Bridget Ellis  Self-harm and digital technologies
Holly Fraser Can machine learning be used to predict antidepressant use outcome longitudinally?
  • Dr Rebecca Pearson, Bristol Medical School (honorary)
  • Dr Ryan McConville, Department of Engineering Mathematics
  • Dr Brit Davidson, Department of Electrical and Electronic Engineering
Henry Glyde Supporting self-management of COPD and asthma
Morgan Jenkinson Investigation and Development of an Endourology Haptic Robot Simulator for Surgical Training
Daniel Kumpik Establishing computational behavioural models for the detection of early dementia from speech
Joe Matthews Investigating the mechanistic relationship between smoking and sleep to inform a tailored digital sleep intervention for smokers.
Marceli Wac Machine Learning for the Improvement of Weaning from Mechanical Ventilation on the Intensive Care Unit


Edit this page