Keynote
Nikos Kyrpides, Ph.D.
Dr. Kyrpides joined the DOE Joint Genome Institute in 2004 to lead the Genome Biology Program and the development of the data management and comparative analysis platforms for microbial genomes and metagenomes (IMG). He became the Metagenomics Program head in 2010 and leads the Prokaryotic Super Program and the Microbiome Data Science Group since 2011. Prior to joining the DOE Joint Genome Institute, Dr. Kyrpides led the development of the genome analysis and Bioinformatics core at Integrated Genomics Inc. in Chicago, IL.
Eran Segal, Ph.D.
Eran Segal is a computational biologist at the Weizmann Institute of Science. He works on developing quantitative models for all levels of gene regulation, including transcription, chromatin, and translation. He gained his BA in Computer Science and Economics from Tel Aviv University in 1998 and his PhD from Stanford University in 2004 advised by Daphne Koller. In 2007 he was awarded the Overton Prize by the International Society for Computational Biology. In 2011 he was made a professor at the Weizmann Institute of Science.
Pavel Pevzner, Ph.D. - Margaret O. Dayhoff Lecturer
Pavel Pevzner holds the Ronald R. Taylor Chair in Computer Science, and leads the department's Bioinformatics Laboratory. He joined the UCSD faculty in 2000, following five years in the University of Southern California's Mathematics and Computer Science departments. From 1992-95, he was an associate professor at Pennsylvania State University, where he was affiliated with both the Biotechnology Institute and the Institute for Molecular Evolutionary Genetics. From 1990-92 Pevzner was a postdoctoral researcher at USC.
Greg Gibson, Ph.D.
Greg Gibson is a professor of Biology and Director of a new Center for Integrative Genomics at Georgia Tech. His group conducts systems genomics research, building on 15 years of quantitative genetic research in Drosophila, but now with a focus on human genomics. His group is primarily interested in the interaction between genotype and environment and the joint influences of these sources of variation on disease susceptibility and the evolution of disease.