6^th International Conference on Bioinformatics & Systems Biology August 22-23, 2016 Philadelphia, Pennsylvania, USA

Corrado Priami is professor of Computer Science at the University of Trento. The results of his PhD thesis on stochastic pi-calculus were the basis for the foundation of the Microsoft Research - University of Trento Centre for Computational and Systems Biology (COSBI), of which he is the President and CEO. His research covers programming languages and computational methods for the modeling, analysis, and simulation of biological processes in the fields of systems nutrition and systems pharmacology. He published over 180 scientific papers, gave more than 60 invited talks and lectures at conferences and universities around the world, participated in many program committees for international conferences (also as chair), regularly serves in advisory and scientific boards and reviewing panels for many international funding agencies and institutions.

• Algorithmic Systems Biology
• Multi-source, hierarchical (omics) data analysis and integration
• Dynamic modeling and simulation

Hugo Geerts has spent 17 years in the (CNS) Drug Discovery Area, with Paul Janssen, probably the greatest drug hunters in history at the Janssen Research Foundation in Beerse, Belgium doing research in Alzheimer’s disease with targets in tangle and amyloid pathology. He was involved in supporting the successful preclinical, clinical and postmarketing development of galantamine. Since 2002, he became CSO of In Silico Biosciences, a company providing mathematical modeling of pathological interactions in the brain for supporting the whole process of drug discovery from target validation to clinical trial design in Psychiatry and Neurology. He is the faculty of the University of Pennsylvania, Perelman School of Medicine and Drexel Dept. of Pharmacology and has over 80 peer-reviewed publications and patents.

Zoran Obradovic is a 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. His research interests include data mining and complex networks applications in health management and other complex decision support systems. Zoran 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 general 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. In 2014-2015 he chairs the SIAM Activity Group on Data Mining and Analytics. His work is published in more than 300 articles and is cited more than 15,000 times (H-index 48).

Matthias Reuss was born in 1941 in Berlin and completed his Ph.D. at the Technical University of Berlin in 1970. From 1971-1976 Research Assistant in the Department of Biotechnology at the GBF Braunschweig; 1977-1987 Professor of Biochemical Engineering Technical University of Berlin, he was from 1988 to 2009 director of the Institute of Biochemical Engineering at the University of Stuttgart. Since 2007 he has been Managing Director of the Center Systems Biology (CSB) of the University of Stuttgart. Prof. Reuss is a member of the European Research Council (ERC) and since 2012 member of the International Advisory Board in Framework 7 EU Project Infect since 2009. Fellow of the International Institute of Biotechnology; 1992 Research award of the State of Baden-Wuerttemberg; 2006 Doctor honoris causa TU Delft, The Netherlands.

The research focus of Matthias Reuss are in the areas of industrial biotechnology and biomedical applications. Methods of multiscale modeling are developed and applied in both areas. For biomedical applications, the focus of these developments lies in cancer research.

Origin and evolution of new genes

• The phenotypic effects and functions of new genes.

• Evolutionary analysis of gene interactions with new genes.

• Copy number variation within Drosophila populations.

• Evolution of sex chromosomes and sex-related genes.

• Genes and Genomes in plants: high origination rate of chimeric genes in the grass family.

Yike Guo is a Professor of Computing Science in the Department of Computing at Imperial College London. He is the founding Director of the Data Science Institute at Imperial College, as well as leading the Discovery Science Group in the department. He has been working on technology and platforms for scientific data analysis, where his research focuses on knowledge discovery, data mining and large-scale data management. Professor Guo also holds the position of CTO of the tranSMART Foundation, a global open source community using and developing data sharing and analytics technology for translational medicine, and the position of CIO of IDBS, a world’s leading company in developing innovative data management and analytics solutions.

Heinz Peter Nasheuer completed his PhD at MPI Göttingen, Germany, and postdoctoral studies at Stanford University School of Medicine. After academic positions at the LMU Munich and the IMB Jena, he joined NUI Galway where he was the Head of the School of Natural Sciences, the largest school in the College of Science, for 4 years. In 2013 he was appointed to a Personal Chair of Biochemistry at NUI Galway. He has published more than 70 papers in peer-reviewed journals. His research interests are mechanisms of cell cycle control and DNA replication, MAP kinase pathways, and protein-protein interactions in living cells using advanced microscopy.

• Mechanisms and regulation of human DNA replication

• DNA damage-induced re-localization of DNA repair proteins in mitosis

• Protein-protein interactions in living cells

• DNA replication of human polyoma viruses

Ravi Radhakrishnan is a Professor of Bioengineering, Biochemistry & Biophysics, and Chemical and Biomolecular Engineering at the University of Pennsylvania. His expertise is in chemical physics, statistical mechanics, and computational biology his laboratory is currently funded primarily by grants from US National Science Foundation, National Institutes of Health, and European Commission and focuses its research on the biophysics of single molecules and cell membranes and signaling mechanisms in cancer. Through his work, he has pioneered novel discovery platforms in insilico oncology and insilico pharmacology. Radhakrishnan and has authored over 100 articles in leading peer reviewed Journals and serves as a referee for over 50 leading journals, publishers, and federal funding agencies. He also serves as an editorial board member and associate editor for 5 journals, and also regularly serves as a Panelist and Study Section member for National Science Foundation, National Institutes of Health, and several Federal Science Foundations in the EU. Radhakrishnan is a Fellow of the American Institute of Medical and Biological Engineering.

Ravi Radhakrishnan's research interests lie at the interface of chemical physics and molecular biology. His lab's goal is to provide atomic and molecular level characterization of complex biomolecular systems and formulate quantitatively accurate microscopic models for predicting the interactions of various therapeutic agents with innate biochemical signaling mechanisms. To do so, they employ several computational algorithms ranging from techniques to treat electronic structure, molecular dynamics, Monte Carlo simulations, stochastic kinetic equations, and complex systems analyses in conjunction with the theoretical formalisms of statistical and quantum mechanics, and high performance computing in massively parallel architectures.