Dr LyonsWeiler is a Senior Research Scientist at the University of Pittsburgh where he is the Scientific Director of the Bioinformatics Analysis Core He earned his PhD at University of Nevada Reno in Ecology Evolution and Conservation Biology He has published numerous papers with advanced novel methods for genomic proteomic and integromic data analysis He has taught genetics population genetics biology evolutionary biology bioinformatics and clinical research principles He served as the Founding Editor in Chief of Cancer Informatics He serves as a reviewer of peerreviewed journals in the areas of genomics proteomics bioinformatics and clinical decision analysis He has organized regional and national meetings in bioinformatics He was the recipient of the Sloan/US DOE Postdoctoral Award in Computational Molecular Biology under the tutelage of Dr Masatoshi Nei and Web Miller at the Pennsylvania State University

Past research areas have included the development of novel paradigms for identifying differentially expressed genes in cancers; methods design to optimized the application of methods of high-dimensional data analysis at small sample numbers; development of new methods for machine learning survival analysis, and the development of entirely new paradigm for integrative translational and clinical research. Current research foci include the automation of methods evaluation and selection for high-dimensional data analysis; comparative evaluation of case/control selection methods via multivariate balancing; optimization of mass spectrometry peptide identification via consensus of search engines; development of generalizable survivorship prediction models via machine-learning, and a comprehensive scoring function for lead identification in next generation sequencing studies.

Yuriy Gusev is a Senior Bioinformatics Scientist Analytic Team Lead at Georgetown University Medical Center He is peerreviewer of over 45 publications including systems biology of human cancer microRNA and gene expression profiling mathematical modeling computer simulation and statistical analysis in Cancer Research

Systems Biology, Bioinformatics, Computational Biology and Cancer Research, Biomarker Discovery with next Generation Sequencing; Molecular Diagnostics; Genomics and Proteomics for Cancer Research.

Haipeng Shen PhD Associate Professor Department of Statistics and Operations Research University of North Carolina at Chapel Hill Chapel Hill NC USA

Functional Data Analysis  Modeling and Forecasting of Nonlinear Time Series Multivariate Analysis  Statistical Function Estimation via Polynomial Splines Statistical Inference for Lognormal Distributions

Yufeng Liu Associate Professor Department of Statistics and Operations Research Carolina Center for Genome Sciences The University of North Carolina Chapel Hill NC USA

Statistical Machine Learning and Data Mining High-dimensional Data Analysis Nonparametric Statistics and Functional Estimation Bioinformatics Design and Analysis of Experiments

Dr ShengHe Huang graduated with a major in molecular biology and medicine from Peking Union Medical College PUMC/Chinese Academy of Medical Sciences CAMS in 1981 He received his postdoctoral training in Childrens Hospital Los Angeles from 19861991 Currently he is an Associate Professor at the Department of Pediatrics University of Southern California In 2002 Dr Huang has coined the concept of infectomics which is the holistic and integrative study of the interplay between microbial pathogens and their hosts and the application of system biology and omic approaches in the field of infectious diseases Dr Huang was a session organizer for infectomics in FBIT2007 Frontiers in the Convergence of Bioscience and Information Technologies and WMSCI2007 World MultiConference on Systemics Cybernetics and Informatics He has been an Editorial Board Member of AntiInfective Agents in Medicinal Chemistry AIAMC since 2007 He has been a reviewer for more than 10 reputed journals

1. Pathogenesis of central nervous system infection. 2. Infectomics: Integration of system biology and omic approaches in the field of infectious diseases. 3. Theory and Practice of Medical System Biology 4. Digital Genomic Medicine (education and research)

Tianfu Wu PhD Assistant Professor Department of Internal Medicine Rheumatology Division UT Southwestern Medical Center 5323 Harry Hines Blvd MC 8884 Dallas TX USA

Signaling transduction pathways of lupus and lupus nephritis. Discovery of early biomarkers for lupus and lupus nephritis. Target and inhibitors of lupus and lupus nephritis.

I am originally from China and received my PhD from the University of Michigan in 2003 under the direction of Dr John A Williams I then carried out postdoctoral research learning how to use proteomic techniques and applied them to the pancreas Currently I am an Assistant Professor in Department of Physiology at Wayne State University My research interest is protein homeostasis and membrane trafficking in the secretory pathway particularly the biogenesis of pancreatic zymogen granules My hobby is playing tennis

Basic research Basic biology and physiology Acute pancreatitis

Zhengping Yi is an Assistant Research Professor in the Center for Metabolic Vascular Biology and the School of Life Sciences at ASU and directs the Proteomics Laboratory Dr Yi completed his PhD in Chemistry at Nanjing University P R China in 2000 and did postdoctoral work in Biochemistry at Purdue University and postdoctoral work in proteomics and diabetes at the University of Texas Health Science Center at San Antonio His current research funded by NIH and ADA focuses on insulin signaling and its associated problems with insulin resistance and type 2 diabetes

Dr. Zhengping\'s research focuses on a better understanding of the basic biology of insulin signaling and the etiology of insulin resistance, type 2 diabetes (T2D), as well as their complications. Dr. Yi and his group are using a combination of clinical, biological, and proteomic approaches to better comprehend insulin signaling and the associated problems that occur with obesity and T2D. Studying insulin signaling in humans is challenging. Dr. Zhengping\'s  laboratory has developed state-of-the-art techniques that can be used to better define and understand the effect of insulin in key metabolic tissues in humans such as skeletal muscle. These approaches are useful models for studying cell signaling pathways in general, and especially their regulation by protein phosphorylation and protein-protein interactions.

Valeria Mas Assistant Professor Director of Research Molecular Transplant Laboratory Department of Surgery Department of Pathology Division of Transplantation Virginia Commonwealth University USA

Pathology, Transplantation

Brian D Halligan PhD Bioinformatics Research Biotechnology and Bioengineering Center Medical College of Wisconsin 8701 Watertown Plank Road Milwaukee WI USA

Bioinformatics, Biotechnology and Bioengineering

Suresh Mathivanan PhD Research fellow Ludwig Institute for Cancer Research Royal Melbourne Hospital Melbourne Australia

Cancer Research

Marc Edery received his PhD 1981 in biology and biochemistry from the University of Paris France After graduating he joined the cancer research laboratory at UC Berkeley and then the Hormone research laboratory at UCSF USA where he has spent four years He then joined the INSERM in Paris France in 1985 where he was interested in the field of research of endocrine related diseases in several species including humans He is now Director of research at the National Museum of Natural History in Paris He is one of the editorial members in the journal TOXICON He serves as a reviewer of peerreviewed journals in the area of toxicology and proteomics

Beside his forensic work his main research interest is now devoted to the mechanisms of action of cyanotoxins in fish. During the past years, he has developed in his laboratory a fish model, medaka to analyse toxicity of cyanotoxins as well as some other toxins like plant toxins. In order to obtain a global view of the mechanisms of action of cyanotoxins, he has started pioneering work on toxicoproteomics in medaka fish. He is author of more than 130 scientific articles.

Paolo Tieri, PhD IGC Centre Inderdip L Galvani for Integrated Studies on Bioinformatics Biophysical biocomplexity Department of Experimental Pathology - Section of Immunology Universita di Bologna Alma Mater Studiorum

Bioinformatics, Experimental Pathology

Felix Munkonge is currently a Research Fellow/Lecturer in the Department of Gene Therapy at the National Heart and Lung Institute, Imperial College London, UK. He earned his Ph.D. at King\s College (KQC), University of London, UK. He has published 37 Reviewed papers, and has contributed to 2 book chapters. He has teaching experience of more than 14 years. He is a grant reviewer for the Biotechnology & Biological Sciences Research Council (BBSRC) and an editorial board member of the Journal of Data Mining in Genomics & Proteomics. He is a Fellow of the Society of Biologists and member of the UK Biochemical Society. He served as a reviewer of peer-reviewed journals in the area of cell biology, biochemistry and proteomics.

His expertise is in the cellular molecular biology of gene transfer to the polarized epithelial cell. Most specifically, his current research is focused on the intracellular fate of plasmid DNA following gene transfer of the human airway epithelial cell using live-cell, real-time fluorescence imaging techniques and electron microscopy.

Salvatore Cappadona is a PostDoc Fellow in the Biomolecular Mass Spectrometry and Proteomics group of Albert Heck at the University of Utrecht, where he works in the Bioinformatics team of Dr. Bas van Breukelen. He studied Biomedical Engineering at Politecnico di Milano (PM, Italy) and received his Master degree in Bioinformatics at Chalmers University of Technology (CTH, Sweden), with a thesis concerning the analysis of structural features in beta-helix proteins. He earned his Ph.D. in Bioengineering at Politecnico di Milano, under the supervision of Prof. Sergio Cerutti. His main research focus was on biomedical signal processing and computational biology and he published and patented a method for noise characterization and rejection in LCMS-based proteomics. In 2008, his Ph.D. thesis was awarded the national “GNB-Patron� prize for the best Ph.D. thesis in Bioengineering. He then joined the Proteomics Lab of Prof. Peter James, at Lund University of Technology (LTH, Sweden), were he extended is research and publications to feature detection and quantification.

Current research focus includes the implementation of novel algorithms for (pre-) processing of MS data and the development of an automated pipeline for protein identification and quantification. The main research topics of his team also include data warehousing and mining, and ad hoc bioinformatics to solve experiment-specific issues.

Dr. Bennani-Baiti, a former Howard Hughes Scholar and Human Genetics Fellow at University of Pennsylvania School of Medicine, carried out research into the molecular mechanisms of gene regulation at the Memorial Sloan-Kettering Cancer Center. He later joined the faculty of St. Louis University School of Medicine wherein he continued this work. He currently leads several research programs at the Children\\\\s Cancer Research Institute into the systems biology of childhood cancers, with a particular interest in sarcomas and other mesenchyme-derived tumors. He is also interested in the deregulation of signaling pathways (e.g. p53, Notch) and miRNAs in cancer, in epigenetics and epigenomics, and in novel methods to inferring tumor biomarkers and drug targets from \\\\Omic\\\\ datasets. Dr. Bennani-Baiti is an active member of the American Association for Cancer Research, AACR Pediatric Cancer Working Group, Epigenetics Society, International Society for Systems Biology, and Society for Mathematical Biology.`   

Dr. Bennani-Baiti is interested in the mechanisms of tumor pathogenesis, as well as in tumor, metastasis, and prognosis markers, with a current focus in childhood cancers. He has recently developed bioinformatic and mathematical methods to uncovering genes significantly associated with particular disease states from small-size cohorts (which cannot be analyzed with conventional statistical methods for lack of statistical power), the only cohorts available for most childhood and adult cancers. Using such methods, he has for example discovered the first metastasis and prognosis molecular markers of Ewing\\\\\\\'s sarcoma, a highly aggressive tumor of bone and soft tissues that afflicts mostly children and young adults. He is also interested in inferring signaling pathway status and connectivity directly from tumor specimen. He is also conducting investigations into the epigenetic mechanisms of tumorigenesis.