Distinguished Professor, Quetelet Endowed Professor of Public Health, Associate Dean for Science, Director of Office of Energetics, and Director of the Nutrition Obesity Research Center; Authored over 450 peer-reviewed publications and five books. 2012 IOM Member. 2002 ILSI Board of Trustees. Elected Fellow ASA, APA, & AAAS. 2002 Andre Mayer Award from IASO; 2009 ASN Centrum Award; 2002 Lilly Scientific Achievement Award & 2009 TOPS Award from the Obesity Society; 2006 NSF PAESMEM Award.
Assistant Professor of Computation Genetics at Albert Einstein College of Medicine, NY.
Gary has research interests primarily focussed on statistical (and reporting) aspects in developing and validating multivariable prediction models. He has published over 100 papers on clinical trials, observational studies, systematic reviews, quality of life, propensity scores and prediction models.
Gary is a statistical editor ("hanging committee") for the BMJ.
Gary also led the development of the TRIPOD Statement for reporting clinical prediction models - www.tripod-statement.org.
Xiangqin Cui is an associate professor in the Biostatistics Department, Section on Statistical Genetics, at University of Alabama at Birmingham. She received her Ph.D in Genetics at Iowa State University in 2001 and a three-year postdoctoral training in statistical genetics at the Jackson Laboratory afterwards. Her research is on experimental design and data analyses of high-throughput experiments including microarray, next-generation sequencing, statistical genetics/genomics, epigenomics.
Dr Martin Daumer: Director of the SLCMSR e.v. - The Human Motion Institute in Munich and managing director of the IT company, Trium Analysis Online GmbH. He is also visiting lecturer for Telemedicine and Clinical Applications of Computational Medicine at the Technical University Munich.
Dr Daumer received a diploma in Physics in 1990 and a Ph.D. in mathematics from the Ludwig-Maximilians-University Munich in 1995, after having worked at CERN, Switzerland, and Rutgers University, USA.
Professor of Structural Biology and Director of the Systems Approaches to Biomedical Sciences Industrial Doctoral Centre at Oxford University.
Senior Research Fellow at the Harvard Forest and Adjunct Professor at the University of Massachuestts; Editor-in-Chief of Ecological Monographs; Presidential Faculty Fellow (US National Science Foundation), Eminent Ecologist (Kellogg Biological Station), Distinguished Visiting Professor (University of Miami), Distinguished Ecologist (Michigan Technical University), Ledermann Lecturer in Natural History and Cosnervation Biology (University of Rhode Island), Fellow (Ecological Society of America)
My work considers mtDNA disease through the prism of evolution, applying a number of techniques to develop methods to identify pathogenic mtDNA mutations. I also work on the role of mtDNA population variation in common disease, inclusive of projects centred round a single disease and method development. Others papers centre on fundamentals of mitochondrial genetics including inheritance and the selective forces that have shaped mtDNA variation in modern human populations.
Tampere University of Technology. Head of the Computational Medicine and Statistical Learning Laboratory.
Assistant Professor of Computer Science at Princeton University. My group develops statistical models and methods for high-dimensional genomic data, modeling human genetic variation and its impact on gene expression and splicing, with the goal of identifying mechanisms of human disorders and diseases.
Associate Professor in the Departments of Anesthesia & Perioperative Medicine, Epidemiology & Biostatistics, and Medicine at the University of Western Ontario in London, Ontario, Canada.
MSc in Clinical Trials from the London School of Hygiene & Tropical Medicine in 2011.
Practices anesthesiology and cardiac critical care.
Research interests include Comparative Effectiveness Research, Trial Reporting, Systematic Review & Meta-Analysis.
Dr. Kattan's research is primarily focused on the development, validation, and use of prediction models. Most of these models are available online, and designed for physician use, at http://rcalc.ccf.org/. He is also interested in quality of life assessment to support medical decision making (such as utility assessment), decision analysis, cost-effectiveness analysis, and comparative effectiveness.