Advisory Board and Editors Statistics
David Meyre
David Meyre completed a PhD in quantitative plant genetics in France. Since 2001, he has been working on the elucidation of the genetic bases of obesity and type 2 diabetes. In 2004, he published the first family-based genome-wide scans for childhood and severe adult obesity. He completed the two first successful positional cloning efforts for childhood and severe adult obesity, which identified the positional candidate genes ENPP1 and PCSK1. In 2007, he contributed to the identification of the major susceptibility gene for polygenic obesity FTO. In 2009, he published the first genome-wide association study of extreme obesity in the French population and identified four novel susceptibility-loci. In 2010, he conducted the first genome-wide association meta-analysis for early-onset extreme obesity in German and French populations. In 2012, he identified the third more common form of monogenic obesity (PCSK1 partial deficiency) and demonstrated an important role of the lipid sensor GPR120 in human obesity. He also discovered the first molecular link between obesity and major depression. In 2013, he discovered a novel gene (SIM1) responsible for a syndromic Mendelian form of childhood obesity. In 2016, he discovered that physical activity can blunt the effect of the obesity predisposing gene FTO in diverse ethnic groups. He also demonstrated that genes can predict the outcomes of different types of bariatric surgery.
Dezső Módos
I am a medical doctor and a systems biologist. During my scientific carrier, I have tried to understand diseases and find novel approaches to treat them with drugs, whether it is cancer or UC. I finished the Semmelweis University Doctor of Medicine course on 2012 and then started my PhD in network biology. I was involved in developing multiple biological network databases transcription factor-target layers such as SignaLink, AutophagyRegulatory Network or the NRF2Ome. My main project was to understand signalling networks in cancer and how the different paralogues of a protein can act in the signalling network.
Since then I have been a Postdoctoral Research Associate at Cambridge University, where my main focus was how can we use networks to predict mechanisms of action of compound combinations. I used various chemical informatics techniques besides network biology such as chemical fingerprints, machine learning and gene expression-based toxicity prediction.
Currently, I am working at the Earlham Institute and Quadram Institut in Norwich researching inflammatory bowel disease and using network biology to decipher the pathogenesis of complex disorders.
I have recently moved to Imperial College, London to go through the therapeutic celling in IBD using systems biology.
Tuan V. Nguyen
Dr. Nguyen is Distinguished Professor of Predictive Medicine at the School of Biomedical Engineering, University of Technology Sydney (Australia). He also holds joint appointments as Professor, St Vincent's Clinical School, University of New South Wales (UNSW Sydney); and adjunct Professor of Epidemiology and Biostatistics at the School of Medicine, University of Notre Dame Australia.
Corey Nislow
Corey Nislow's laboratory develops and uses cutting edge tools to address this central question: how can we understand the biological commonalities in all of the life sciences; from embryonic development, to the spread of infectious diseases to better ways to treat cancer. Each of these disciplines can be explained in the context of competition, interaction and evolution. His lab studies the interface between genes and the environment using parallel genome-wide screens, high throughput cell-based assays and next generation sequencing. Most recently, he and his scientific partner, Dr. Guri Giaever, are exploring how laboratory experiments can co-opt evolutionary processes to understand drug action. He enjoys teaching all aspects of biotechnology, genomics and drug discovery. He got his PhD from the University of Colorado, worked at several Biotechnology companies and was at Stanford and University of Toronto before joining UBC in 2013. He has published 161 papers and run 19 marathons.
Pablo Nuñez Demarco
Dr. Pablo Nunez Demarco is Assistant Professor in the Faculty of Sciences, Universidad de la República.
His research skills and expertise include Tectonics, Structural Geology, Field Geology, Sedimentology, Petrography, Geological Processes, Sedimentary Basins, Geological Mapping, Biomechanics and Geology.
Zoran Obradovic
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).
Gjalt-Jorn Ygram Peters
I am a behavior change professional on the cross-section between behavior change science (psychology), methodology and statistics and technology (ICT).
Main interests include: behavior change, statistics, methodology, online research methodology and intervention development.
Brett S Phinney
I am currently the director of the UC Davis Genome Center Proteomics Core and I am on the Executive board of the Association of Biomolecular Resource Facilities (www.abrf.org). I obtained my Ph D. in Biology studying viral protein structure using mass spectrometry and did a Post-doc with the noted Mass Spectrometrist Jack Watson at Michigan State University before founding the Proteomics Core there and becoming the co-director of the Michigan State Proteome Consortium
Joram M Posma
Lecturer in Cancer Informatics at Imperial College London and Fellow at Health Data Research (HDR) UK. Fellow of the Higher Education Academy (FHEA) and Member of the Royal Society of Chemistry (MRSC).
Danielle Posthuma
Fenna Diemer Lindenbaum Chair in Statistical Genetics; VU University & VU University Medical Centre, Amsterdam, The Netherlands; Executive Board Member Dutch IPSc Center; Director of Genetic Cluster Computer; Elected Member Young Academy of Netherlands Royal Society of Arts and Sciences.
Diogo B Provete
I am an Assistant Professor of Ecology and Statistical Ecology at the Federal University of Mato Grosso do Sul, Brazil. My primary research interests include metacommunity ecology, biogeography, macroecology, and macroevolution. I often use phylogenetic comparative methods, geometric morphometrics, and multidimensional analysis in my research. I'm an elected member of the Science Committee of the Ecological Society of America, Chair of the ESA Latin America Chapter and serve as an Associate Editor for Amphibia-Reptilia, Journal of Herpetology, and Ecosphere. So far, I have published 30 papers on ecology and herpetology in international journals, 4 book chapters, in addition to a book on Biogeographical patterns of South American Anurans by Springer. My research has been featured in F1000 Prime and several Brazilian newspapers. I have advised four master's students. I have been invited to present my research in Swansea (UK), Argentina, Recife, and São Paulo. I served as Editor-in-Chief for Check List, and also was a member of the editorial board of five other zoology journals.
Zhaohui S. Qin
Dr. Qin is currently an Associate Professor in the Department of Biostatistics and Bioinformatics at Rollins School of Public Health, Emory University. He is also a faculty member at the Department of Biomedical Informatics, Emory University School of Medicine. Dr. Qin received his B.S. degree in Probability and Statistics from Peking University in 1994 and Ph.D. degree in Statistics from University of Michigan in 2000. He was a postdoctoral fellow in Dr. Jun Liu’s group in Department of Statistics at Harvard University from 2000 to 2003. He joined the Department of Biostatistics at University of Michigan in 2003. In 2010, he moved to his current position in Emory University. Dr. Qin has more than 15 years of experience in statistical modeling and statistical computing with applications in statistical genetics and genomics. Recently, his research is focused on developing Bayesian model-based methods to analyze data generated from applications of next generation sequencing technologies such as ChIP-seq, RNA-seq and resequencing. Dr. Qin also actively collaborates with biomedical scientists and clinicians on various projects that utilizing next generation sequencing technologies to study cancer genomics. Dr. Qin has published more than 100 peer-reviewed research papers covering statistics, bioinformatics, statistical genetics and computational biology. He has supervised more than 10 graduate students and postdoctoral fellows.