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Gari D. Clifford

ECGSYN I have recently joined the faculty at the University of Oxford in the Department of Engineering Science where I am a University Lecturer and Fellow of Kellogg College. I am also the Associate Director of the Centre for Doctoral Training in Healthcare Innovation, a major EPSRC-funded centre for teaching translational biomedical engineering in the UK. On our programme students will gain first-hand experience of how technologies they develop have potential clinical impact via a hospital internship, will develop translational research skills to both accelerate clinical uptake of technologies, and take inventions through the first steps of commercialisation. Students will learn how to design clinical trials, and about innovation/entrepreneurship and will conduct a Ph.D. in information-driven healthcare, personalized modelling in healthcare, or cancer therapeutics and delivery.

My own research (and teaching) interests lie in Intelligent Patient Monitoring and Signal Processing/Data Fusion. My main application areas in health are Critical Care, Sleep & Resource-Constrained Environments (such as in developing countries). I am currently building a research group at Oxford at the Institute of Biomedical Engineering (IBME) with the following four broad themes:

* Neuro-cardiopulmonary interactions.
* Adverse event prediction it the ICU.
* Fetal monitoring for maternal and pre-/ante-natal care.
* AI4D - Intelligent patient monitoring in resource constrained environments using cellular devices and networks.

Until recently I was a Principal Research Scientist in the Laboratory for Computational Physiology at the Harvard-MIT Division of Health Sciences where I was the engineering manager of a R01 NIH-funded research program, "Integrating Data, Models, and Reasoning in Critical Care", and a part-time contributor to the well-known Physionet Research Resource. I studied Physics and Electronics for my undergraduate degree, I have a Masters in Mathematics and Theoretical Physics from Southampton University and a Ph.D. in Neural Networks and Biomedical Engineering from Oxford University. I have taught (and still do) at Oxford, MIT and Harvard, and I am currently an Instructor in Biomedical Engineering at MIT. I am a Senior Member of the IEEE and have worked in industry on the design and production of several CE- and FDA-approved medical devices. I am a Scientific Advisor for various hardware and software companies including E-Trolz, who manufacture hardware for recording ECG data. We are attempting to integrate open-source data standards and tools onto their hardware.

Apart from my day job at Oxford's IBME and CDT, I am a member of SAMP, the Systems Analysis, Modelling and Prediction Group in the Dept. of Engineering Science, Oxford University. I am also a fellow of Kellogg College, Oxford. I continue to hold affiliate research positions at MIT and Harvard. My research interests include multidimensional biomedical signal processing, noise analysis, missing data, ECG and cardiovascular modeling and supervised and unsupervised learning from massive temporal biomedical databases. A list of projects I am currently working on, or have worked on, can be found here and a list of collaborators can be found here. In 2006 I co-wrote a book entitled Advanced Methods for ECG Analysis, which is co-edited by Francisco Azuaje and Patrick McSharry, and is published by Artech House. Sample chapters from this book can be found here. A second volume of this book is now in preparation.

I have a strong interest in sustainable technology for education and development, both for developing countries and the developed world. I am part of the NextBillion network at MIT, and have taught on a connected course on ICT4D (Information Communication Technologies for Development). This course is offered through the Media Lab at MIT. I am also a member of the Center for Developmental Communications in the Media Lab.
I also believe that the open publication and detailed documentation of research is as vital to progress as the development of the technology iteself. This includes both the code and data used in the publication.

I am therefore a strong supporter of PhysioNet and am on the editorial board of BioMedical Engineering OLline. BioMedical Engineering OnLine is an Open Access, peer-reviewed, online journal that is dedicated to publishing research in all areas of biomedical engineering. BMEO is free to download, and free to publish in (if your institution subscribes, paying a small fee), although discounts are available and charges paying a can be waived. BMEO and is one of a range of online journals published by BioMed Central. Note that all BioMed Central journals allow the authors to retain their copyright. The journals' impact factofs and the citations are tracked by ISI , Scopus and Google Scholar . An incomplete list of other relevant journals, with scope, immediacy factors, impact factors and links can be found here . Please feel free to submit any other to this that you think might be useful.

Joining my research group

When I have funded doctoral and post-doctoral positions available, I will post the information here. If you are considering working with me, please read my ethics page.

We are currently recruiting for DPhil (PhD) students at the Center for Doctoral Training (CDT) for October 2010. See here and here for more information. The deadlines for applications are 20 November 2009, 22 January 2010, and sometime in late spring. Before submitting a full application for a studentship on the programme, all candidates are required to send a copy of their most recent CV via-email to: cdt-enquiries@eng.ox.ac.uk.

If advised to submit an application, all applicants are required to follow the University guidelines on the admissions process.

Please apply online through the University's Graduate Admissions Office, using programme code 002465, DPhil in Healthcare Innovation, in your application, and consider the associated colleges (St Hilda's, Jesus, Keble, Lady Margaret Hall, Wadham, Wolfson and Kellogg Colleges) for your college choices.

For enquiries please email: cdt-enquiries@eng.ox.ac.uk or jo.armitage@eng.ox.ac.uk. No telephone enquiries please.

Please do read the course materials and apply directly. Please do not send you application to me, although if you have any specific questions, I will try to answer them if I have time. Please note that I receive an enormous number of emails, so may not find time to answer all enquiries.

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Hall Clifford Journal of Biological Systems.