Confirmed speakers include:   

Jay Shendure, Genome Sciences, University of Washington, Seattle, WA, USA
Dr. Shendure is a leader in the development of new sequencing tools and strategies and their application to understanding genetics. He has been responsible for identifying the genetic causes of several rare diseases and in 2012 published the first non-invasive method to obtain the sequence of a fetal genome.

Deepak Singh, Principal Product Manager, Amazon EC2
Dr. Singh is leader in the development of bioinformatics tools and systems for large-scale data processing and data storage.  He is currently heading up Amazons efforts in the development of elastic cloud computing and it’s application to scientific problems.

Colin Pritchard, Department of Laboratory Medicine, University of Washington, Seattle, WA, USA
Dr. Pritchard is an Assistant Professor of Laboratory Medicine. He is also the associate director of the clinical molecular genetics laboratory in Laboratory Medicine at the University of Washington Medical center, where he focuses on oncology molecular diagnostics.

Sheila Reynolds, Institute for Systems Biology, Seattle, WA, USA
Dr. Reynolds is currently a part of the NIH's The Cancer Genome Atlas (TCGA) project and is interested in applying a wide range of machine-learning techniques to large heterogeneous datasets to further our understanding of the complex interplay of genomic rearrangements and epigenetic alterations in cancer and to help translate these findings into new and improved treatment protocols.

David Craig, Arizona State University and Translational Genomics Research Institute, Phoenix, AZ, USA
David Craig currently works as an investigator and associate director of the Neurogenomics Divison at the Translational Genomics Research Institute (TGen), focusing on bioinformatics.

Nuno Fonseca, European Bioinformatics Institute, Hinxton, UK
Nuno A. Fonseca is a research scientist in John Marioni's and Functional Genomics groups at the European Bioinformatics Institute. His research interests encompass the development of computational methods and pipelines for the analysis of RNA-seq and other high-throughput sequencing data, and multi-relational learning.

Michael Reich, Broad Institute, Boston, MA, USA
Michael Reich has led the Cancer Informatics development team at the Broad Institute of MIT and Harvard for the last ten years. His group’s software, which includes GenePattern, Integrative Genomics Viewer, GSEA, Molecular Signatures Database (MSigDB), Connectivity Map, and GeneCruiser, provides analysis and visualization of gene expression, SNP copy number, proteomic, epigenetic, small-molecule screen, and other types of genomic data for thousands of users worldwide.

Dave Clements, Emory University, Atlanta, GA, USA
Dave Clements works on the Galaxy Project at Emory University, where he is involved in organizing various training activities, preparing training materials, and improving Galaxy's documentation, wiki, and web presence.

Michael Sneddon, Lawrence Berkeley National Laboratory, Berkeley, CA, USA

Michael Sneddon is a software developer on the KBase project at the Lawrence Berkeley National Laboratory.  He is currently building computational methods and infrastructure to support data analysis and modeling of microbial and microbial community systems in KBase.  Michael has a PhD from Yale University in Computational Biology and Bioinformatics, where he was lead developer of NFsim, a software platform for modeling the dynamics of large scale biochemical networks that has been applied to study bacterial and immune system signaling. 

Ric Colasanti, Argonne National Laboratory, Lemont, IL, USA

Ric Colasanti is a Senior Computational Biology Programmer for the Computational Biology Group at the Argonne National Laboratory. He is currently involved with spatial microbial community models and phenotype classifier systems for the KBase project. Ric obtained his PhD from the University of Sheffield in the UK. His main area of expertise is cellular automata models.

FGED 2013 Conference in Seattle

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