Our team

Making full use of the data requires a completely multidisciplinary approach, with data scientists and computer scientists working alongside mathematicians, clinicians and engineers

UCL team

Prof Rebecca Shipley	CHIMERA co-lead and UCL Institute of Healthcare Engineering, UCL Mechanical Engineering
Prof Christina Pagel	CHIMERA co-lead and Clinical Operational Research Unit (CORU)
Prof Simon Arridge	UCL Computer Science
Prof Vanessa Diaz	UCL Mechanical Engineering
Dr Alejandro Diaz	UCL Mathematics
Prof Nicholas Ovenden	UCL Mathematics

University College London Hospital team

Dr Steve Harris

Centre for Anaesthesia Critical Care and Pain Medicine, UCLH

Dr Ed Palmer	Registrar in Intensive Care, UCLH
Dr Claire Black	Critical Care Physiotherapy, UCLH

Great Ormond Street Hospital team

Prof Mark Peters	Institute of Child Health
Dr Samiran Ray	Paediatric Intensive Care Unit (PICU)

Post-doctoral research assistants, PhDs and MScs

Hugh Kinnear	UCL Mathematics
Abigail Smith	UCL Mathematics My work is focused on the biomechanical modelling of the human lung for use in clinical care. For the creation of physiological models, I implement solid mechanics, poroelasticity and other similar techniques. My interest is in the application of mathematical models to assist real-world clinical decision making in the ICU.
Sina Saffaran	UCL Mechanical Engineering
Gevik Grigorian	UCL Mechanical Engineering My research interests lie on the boundary of dynamical systems and machine learning. In particular, I am working on inferring the missing dynamics from incomplete biomechanical models using deep learning. I have a BSc in mathematics with finance and accounting and an MSc in mathematical modelling.
Cameron Peters	UCL Mechanical Engineering (MSc)
James Stainer	CDT for AI-enabled Healthcare Systems James is a PhD student working on applying AI methods to identify patterns of patient physiology in GOSH PICU. His focus is on understanding the relationship between heart rate and blood pressure and forecasting near-term changes in this dynamic. His interests lie in forecasting, time-series analysis, and recurrent neural networks (RNNs).
Finneas Catling	Wellcome Trust 4i Clinical PhD Fellow (Imperial College) My research aims at 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.
Sandip George	UCL Computer Science Sandip is a research fellow, working with Prof. Simon Arridge. He uses dynamical systems and machine learning for the classification, modelling, and prediction of time series in the ICU. He holds a PhD in Physics from IISER Pune, India. Subsequently he was a postdoc at the UMCG, the Netherlands.
Manuel Teixeira Cabeleira	UCL Mechanical Engineering Manuel is a PhD student working on mathematical models for the cardiovascular and respiratory systems aiming to generate virtual twins of ICU patients. His research interests are lumped parameter models, model optimisation and patient specific medicine He graduated in Biomedical Engineering and Computer Science at the University of Coimbra, Portugal
Thomas Frost	UCL Institute of Health Informatics I'm a clinical doctor completing my PhD, supervised by Dr. Steve Harris and Dr. Ken Li. My previous work (as a Masters student) looked at ventilatory phenotypes of intubated patients with COVID-19-related ARDS. Currently, I’m researching reinforcement learning as a means of optimising IV infusions in critical care.
Ali Septiandri	UCL Statistical Science Ali is a PhD student at UCL Statistical Science working in data imputation in critical care medicine. He obtained his MSc in Artificial Intelligence from the University of Edinburgh and his BSc in Informatics from Institut Teknologi Bandung.
Victoria Volodina	UCL Clinical Operational Research Unit Victoria is a research fellow in computational statistics on CHIMERA working on a Bayesian graphical model to inform clinicians about oxygen affinity state in critically ill patients. Her research interests span Bayesian statistics, machine learning and decision theory.

Professional support

Eric de Silva	Research & Development Manager, IHE
Alice Hardy	Communications and Impact Manager, IHE
Ferdouse Akhter	Marketing and Community Manager, IHE

Julie Taylor

Senior Research Administrator, Clinical Operational Research Unit