PhD, MSc, SMIEEE
Gari Clifford PhD, MSc, SMIEEE, is the Interim Chair of Biomedical Informatics, and Associate Professor of Bioinformatics and Biomedical Engineering at Emory University and Georgia Institute of Technology. He is also adjunct faculty at Morehouse School of Medicine, Honorary Professor at The Sleep & Circadian Neuroscience Institute, University of Oxford, Distinguished Guest Professor at Tsinghua University, Beijing, China and Deputy Editor of the Journal Physiological Measurement published by the Institute of Physics and Engineering. Formerly on faculty at the University of Oxford, he directed the Centre for Affordable Healthcare Technologies at Kellogg College, Oxford, where he was an Associate Professor of Biomedical Engineering, James Martin Fellow and Interim Director of Affordable Healthcare at the George Institute for Global Health. Gari leads a research group focused on machine learning and signal processing to extract actionable information from medical data. In particular he focuses on intensive care medicine, cardiovascular disease, circadian rhythm disorders, sleep and mental health. His research is aligned with the concept of sustainable healthcare and he has a particular focus on resource-constrained mHealth and circadian rhythms, with ongoing clinical trials in India, South Africa and Guatemala. Prior to joining the faculty at Oxford Gari was a Principal Research Scientist at MIT, where he spent six years managing the engineering effort behind a multi-million dollar project to collect and analyse the world's largest public database of hospital data. Gari has licensed several patents and been closely involved in the regulatory approval of medical devices for over 10 years. His research has won several awards including the 2009 Martin Black Prize, the 2010 mHealth Alliance Award, the 2011 International Engineering World Health Design Competition, the Dell Best Innovation Leveraging Technology Award 2012 and the Computing in Cardiology Challenges in 2008, 2012 and 2013 for ECG analysis and Mortality Prediction.