Professor of Thoracic Medicine at the National Heart and Lung Institute, Head of Respiratory Medicine at Imperial College & Honorary Consultant Physician at Royal Brompton Hospital, London. Has been the most highly cited clinical scientist in Europe & the most highly cited respiratory researcher in the world over the last 20 years. Elected a Fellow of the Royal Society in 2007. Currently a member of the Scientific Committee of the WHO/NIH global guidelines on asthma (GINA) and COPD (GOLD).
Barnes is the author of over 1,000 publications in peer reviewed journals. He has edited or co-edited over 50 books on asthma, COPD and respiratory pharmacology.
He has been received honorary degrees from the Universities of Ferrara (Italy), Athens (Greece), Tampere (Finland), Leuven (Belgium) and Maastricht (Netherlands). He co-founded an Imperial spin-out company RespiVert, which was acquired by Johnson & Johnson and has developed novel inhaled treatments for COPD and severe asthma.
Assistant Professor of Medicine, Division of Pulmonary and Critical Care Medicine, UCLA School of Medicine.
Director of Applied Genomics in Informatics at Center for Clinical Research in Informatics, NorthShore Research Institute Evanston, Illinois and Professor of Medicine University of Chicago. Former Evelyn Troup Hobson Professor & Founding Chair Department of Public Health Sciences, M.D., University of Virginia School of Medicine (1995-2012). Director ICU Research George Washington University School of Medicine & founder, former board member and CEO of Apache Medical Systems (Inc.) 1988-2000.
Ashham Mansur is an Associate Professor of Anesthesiology. He is a Senior Consultant Anesthesiologist and has received his training at the University Medical Center Goettingen, Germany. His research focuses on sepsis and sepsis-related organ failure. He is also working with internationally recognized experts on integrative projects in order to facilitate precision medicine approaches in treatment of critically ill patients.
Zoran Obradovic is L.H. Carnell Professor of Data Analytics at Temple University, Professor in the Department of Computer and Information Sciences with a secondary appointment in Statistics, and is the Director of the Center for Data Analytics and Biomedical Informatics. He is an Academician at the Academia Europaea (link is external) (the Academy of Europe) and a Foreign Academician at the Serbian Academy of Sciences and Arts (link is external). He is the executive editor at the journal on Statistical Analysis and Data Mining, which is the official publication of the American Statistical Association and is an editorial board member at eleven journals. He was the chair at the SIAM Activity Group on Data Mining and Analytics for 2014 and 2015 years, was co-chair for 2013 and 2014 SIAM International Conference on Data Mining and was the program or track chair at many data mining and biomedical informatics conferences. His work is published in more than 300 articles and is cited more than 15,000 times (H-index 48).
Dr Bob Patton is a Lecturer in Clinical Psychology at University of Surrey. He has run a research consultancy since 1993. During the 90s he worked as a consultant for the Home Office Drugs Prevention Initiative and research associate in health promotion for the University of Northumbria. Based in London since 1997, he has held a variety of research positions at Kings College London, Royal Holloway, London School of Hygiene & Tropical Medicine, Imperial College, Surrey University and the Maudsley Hospital. He has also served as the Vice-Chair (Research) for the BPS Division for Teachers and Researchers and been a member of the BPS Research Board.
Dr. Peng is a Professor of Data Science at the University of Sunderland. He is a Principal Investigator in Bioinformatics and Systems Biology and Medicine, and Principal Data Scientist working on Big Data Integration, Data Mining and Computational Intelligence. Dr. Peng's Data Science and BioMedical informatics (DS & BMI) research group focuses on development of innovative data analytics approaches to enable systematical analysis of biological data, medical images, and healthcare data and to gain new knowledge and insights from the integrative analytics of diverse data sources.