Biography
I am an academic Anaesthetic and Critical Care doctor, and a Wellcome Trust 4i Clinical PhD Fellow at Imperial College London.
My research focuses on early diagnosis and improved treatment of critical illness, using methods from Bayesian statistics and machine learning. I am particularly interested in merging these methods with physiological models to provide bedside decision support, in disease heterogeneity, and in the role of uncertainty in clinical decision-making.
My recent work includes:
- Uncertainty-aware mortality risk prediction for patients undergoing emergency laparotomy. Our prediction model is available as a web app and API.
- Representing patients’ status using time-series data to better anticipate clinical deterioration in the Intensive Care Unit.
- Exploiting structure in medical knowledge to improve rare disease recognition during automated clinical coding.
- An open-source software library (in Python) for preprocessing and analysis of physiological waveforms.
