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	Professor Andrew Dowsey, Bristol Veterinary School Dr Chris Bordeaux, NHS, Centre for Medical Education Dr Chris McWilliams, Department for Engineering Mathematics Dr Ranjeet Bhamber, Bristol Medical School
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	Dr Jon Bird, Department of Computer Science Dr Helen Bould, Bristol Medical School Dr Lucy Biddle, Bristol Medical School
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	Dr James Dodd, Bristol Medical School Professor Ian Nabney, Department of Computer Science
Morgan Jenkinson	Investigation and Development of an Endourology Haptic Robot Simulator for Surgical Training	Dr Antonia Tzemanaki, Department of Mechanical Engineering Mr Joe Philip, Bristol Medical School
Daniel Kumpik	Establishing computational behavioural models for the detection of early dementia from speech	Dr Raul Santos-Rodriguez, Department of Engineering Mathematics Dr Elizabeth Coulthard, Bristol Medical School Professor Yoav Ben-Shlomo, Bristol Population Health Science Institute
Joe Matthews	Investigating the mechanistic relationship between smoking and sleep to inform a tailored digital sleep intervention for smokers.	Dr Angela Attwood, School of Psychological Science Dr Ryan McConville, Department of Engineering Mathematics Dr Hanna Isotalus, Department of Electrical and Electronic Engineering
Marceli Wac	Machine Learning for the Improvement of Weaning from Mechanical Ventilation on the Intensive Care Unit	Dr Raul Santos-Rodriguez, Department of Engineering Mathematics Dr Chris Bordeaux, NHS, Centre for Medical Education Dr Chris McWilliams, Department for Engineering Mathematics