Gari D. Clifford

ECGSYN I am currently a Principal Research Scientist in the Laboratory for Computational Physiology at the Harvard-MIT Division of Health Sciences where I am 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 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 MIT and Harvard, I am a member of SAMP, the Systems Analysis, Modelling and Prediction Group in the Dept. of Engineering Science, Oxford University. I am also affiliated with St. Cross College, Oxford. 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. My most recently completed academic project is a book entitled Advanced Methods for ECG Analysis, which is co-edited by Francisco Azuaje and Patrick McSharry, and is published by Artech House.
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 teach 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.

Latest News: New Jobs at the LCP

We are currently recruiting for two Research Scientist positions. See job 1 and job 2 for further info. Please feel free to contact me if you have any questions about these posts. Please send CVs directly to me and to lcp-jobs@mit.edu. Note that you will also have to apply via MIT's webhire site.

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Hall Clifford Journal of Biological Systems.