The Laboratory for Computational Medicine and Technology Research Team
Research team
Principal investigator
Prof. Mauricio Villarroel
- Associate Professor of Biomedical Engineering
Mauro leads the Laboratory for Computational Medicine and Technology, focused on improving the efficiency, accuracy and timeliness of clinical decision-making in both high-income countries (HICs) and low- or middle-income countries (LMICs).
Research staff
Dr. João Jorge
- Postdoctoral Research Associate
João joined the group for his DPhil studies in 2012. His academic work centred on respiratory monitoring of premature infants in the NICU, and he developed techniques to improve the quality of the extracted respiratory signal. Before Oxford, he studied for an MSc in Biomedical Engineering in Imperial College London, where he worked on instruments to be used in the field of image-guided and robotic assisted surgery at the Hamlyn Centre for Robotic Surgery. He is a member of the Oxford chapter of Engineers Without Borders.
Dr. Shaun Davidson
- Postdoctoral Research Associate
Shaun’s research interests include computer models for the assessment of patient physiological status in a hospital environment and the design of clinical devices. At Oxford, Shaun’s research involves the development of methods for non-contact or non-intrusive estimation of vital signs (such as heart rate, respiratory rate, or blood pressure), combined with machine learning algorithms to predict patient outcomes. Prior to joining the IBME in 2019, Shaun completed his bachelor’s and PhD in Mechanical Engineering at the University of Canterbury, New Zealand, along with two research fellowships at the University of Liège, Belgium. While at Canterbury, he worked on real-time clinical modelling and devices for mechanical ventilation, cardiovascular monitoring, and administration of insulin in the Intensive Care Unit (ICU).
Students
Dr. Mirae Harford
- DPhil student
Mirae is a clinician training to be an intensive care physician. She is interested in improving physiological monitoring in critical care using non-contact methods. This led to her current time out of clinical training to undertake a DPhil. She completed her pre-clinical studies at the University of Cambridge where she received a First Class B.A. degree in Natural Sciences, followed by clinical medical training at the University of Oxford. Prior to her DPhil studies she completed an NIHR Academic Clinical Fellowship in Oxford Deanery. She is a member of the Intensive Care Society, the Royal College of Physicians, and the Royal College of Anaesthetists.
Eoin Finnegan
- DPhil student
Eoin is a DPhil student interested in the application of machine learning techniques for continuous vital sign monitoring. Eoin graduated with a MEng from Oxford University specialising in biomedical engineering.
Dineo "Maya" Serame
- DPhil student
Dineo Serame is a graduate of the University of Botswana (class of 2018) with a bachelor’s degree in Mechanical Engineering. She is a 2019 Rhodes Scholar currently doing her Dphil in Biomedical engineering, and is interested in the application of machine learning in bio-monitoring.
Alexis Dorier
- DPhil student
Alexis completed his Bachelor's degree in Life Sciences at EPFL, Switzerland, and then pursued a Master's degree in Bioengineering, graduating in 2018. He gained industry experience by working in the field of data science for a few years before joining "the group" in 2022. Currently, Alexis is focused on research that utilises computer vision to detect abnormal movement during sleep. His work in this area aims to improve the diagnosis and treatment of sleep disorders, leading to better health outcomes for patients.
Marshia Zaman Shaily
- DPhil student
Marshia joined the group in 2022 from Bangladesh as a Commonwealth Scholar. She completed her bachelor's and master's degree in Electrical and Electronic Engineering from University of Dhaka, where she also served as a faculty member prior to taking a study leave to pursue her DPhil. Marshia's research interests lie in the remote monitoring, detection, and prediction of neurological disorders using various biomarkers. Her work is focused on leveraging cutting-edge technologies to develop novel solutions for the early detection and effective management of neurological disorders.
Abdullah Bin Obaid
- DPhil student
Abdullah completed his undergraduate studies at King Saud University, in Saudi Arabia, where he ranked first in his major at the academic year 2015/2016. After 3 years of working in Industry, Abdullah decided to follow his passion and pursued a master's degree in Bioengineering in neurotechnology from Imperial College London. He is currently working on the applications of artificial intelligence techniques in patient diagnosis.
Melis Atbinek
- DPhil student
Melis is interested in using machine learning approaches to study and prevent athletic injuries in youth sports. She studied Molecular Biology and Genetics at Izmir Institute of Technology and graduated with high honors. She was a trainee at the Technical University of Munich, where she focused on YAP protein phosphorylation in muscle cells during exercise. She received her MSc degree at Izmir Institute of Technology (ncRNALab). Her research focus was the interaction between long non-coding RNAs and chromatin and its effect on gene regulation. During her MSc degree, she worked as a teaching assistant. She had a short industry experience, working in a start-up company “Uniqgene,” which focuses on sports genetics.
Yixing Lei
- DPhil student
Yixing is a researcher with a focus on rehabilitation, machine learning and computer vision. He holds an MSc degree in Human and Biological Robotics from Imperial College London, where he developed a camera-based Functional Electrical Stimulation calibration system for his thesis. He also has experience in designing and manufacturing soft robotics. Yixing aims to apply his knowledge to create innovative systems and devices that benefit patients. His passion lies in improving the lives and well-being of individuals through advanced technology and rehabilitation techniques.
Meng Yu Shou
- MEng student
Meng Yu is currently working hard to graduate with a MEng in Engineering Science at Harris Manchester college. His final year project aims to develop novel deep learning methods for video denoising in low light conditions. His interests largely lie in Machine Learning and Image Processing. When asked about what he does in his spare time, he expressed confusion at the concept of spare time for a MEng student.
Katarina Günter
- DPhil student
Katarina completed her bachelor’s degree (Hons) Pharmacology at the University of Aberdeen before delving into a master’s degree (Hons) in Pharmaceutical Engineering at the Technical University of Denmark. Her studies, which included machine learning and signal processing for biomedical applications, led her to Stanford as a Visiting Student Researcher. At Stanford, her interest in sleep disorders grew, specifically in REM Sleep Behaviour Disorder and its potential transition into Parkinson's disease. Katarina hopes to utilise sleep clinic data and wearables to enhance our understanding and detection of these conditions.
Nicharee "Ploy" Srikijkasemwat
- MEng student
Ploy is a MEng Engineering Science student at St Peter's College. Her fourth-year project focuses on developing deep learning models for disease prediction from cardiac MRI.
Erik Vanegas Müller
- DPhil student
Erik's DPhil research will test and analyse cardiac electrophysiological modelling with Physics Informed Neural Networks in youth athletes aged between 11 and 18. Erik's work seeks to gain more insight into the spatiotemporal propagation of innervated action potentials to prevent arrhythmias, syncope, and, ultimately, sudden cardiac death. He graduated from the Technical University of Berlin with a Bachelor and Master of Science degree in Engineering Science, specialising in numerical methods, simulation, and control theory. Besides being a competent engineer, Erik is a certified paramedic. He dreams of one day becoming a #Fungineer [fuhn-juh-neer].
Alumni
Xue Heng Tan
- MEng student
Heng is an MEng student in Engineering Science student at St Anne's College. He specialises in Biomedical and Information Engineering and is currently working on non-contact vital sign monitoring using infrared thermography. He does plenty of push-ups and pull-ups to help himself get through the week.
James Sweeney
- MEng student
James is an MEng student in Engineering Science student at St. Anne’s College. His final year project is based on using image segmentation algorithms for heart rate estimation. In his spare time, he plays football for St. Anne’s College and is president of the St Anne’s College Ball Committee.
Alessandro Guazzi
- DPhil student
Sitthichok Chaichulee
- DPhil student
Hamish Tomlinson
- DPhil student
Jonathan Daly
- DPhil student
Chun Ngai
- MEng student
Hector van Smirren
- MEng student
Dr. Clare Macewan
- DPhil student
Dr. David Meredith
- DPhil student
Collaborators
Professor Chris W Pugh
Professor of Renal Medicine
Head of the Nephrology Oxygen Sensing Group
Nuffield Department of Medicine,
University of Oxford
Professor Peter Watkinson
Professor of Intensive Care Medicine & clinical lead
Kadoorie Centre for Critical Care Research & Education
John Radcliffe Hospital
Oxford
Professor Duncan Young
Professor of Intensive Care Medicine
Director of the Critical Care Research Group,
Oxford
Professor Andrew Zisserman
Visual Geometry Group
Department of Engineering Science
University of Oxford
Professor Peter Robbins
Professor of Physiology
Head of the Robbins Lab
University of Oxford
Professor Rebeccah Slater
Professor of Paediatric Neuroscience
Nuffield Department of Clnical Neurosciences
University of Oxford
Dr Matthew Frise
Registrar in Acute Medicine and Intensive Care
University of Oxford
Dr Kenny McCormick
Consultant in Paediatrics
University of Oxford
Dr Gabrielle Green
Clinical Research Fellow in Neonatology
University of Oxford
Dr. Sheera Sutherland
Research Team Manager
Oxford Kidney Unit
Churchill Hospital
Oxford
Ms Sara Davies
Research Nurse
John Radcliffe Hospital
University of Oxford
Ms Sheula Barlow
Research Nurse
John Radcliffe Hospital
University of Oxford
Ms Sharon Garrett
Research Nurse
John Radcliffe Hospital
University of Oxford