Michael Snyder is the Stanford Ascherman Professor and Chair of Genetics and the Director of the Center of Genomics and Personalized Medicine. Dr. Snyder received his Ph.D. training at the California Institute of Technology and carried out postdoctoral training at Stanford University. He is a leader in the field of functional genomics and proteomics, and one of the major participants of the ENCODE project. His laboratory study was the first to perform a large-scale functional genomics project in any organism, and has launched many technologies in genomics and proteomics. These including the development of proteome chips, high resolution tiling arrays for the entire human genome, methods for global mapping of transcription factor binding sites (ChIP-chip now replaced by ChIP-seq), paired end sequencing for mapping of structural variation in eukaryotes, de novo genome sequencing of genomes using high throughput technologies and RNA-Seq. These technologies have been used for characterizing genomes, proteomes and regulatory networks. Seminal findings from the Snyder laboratory include the discovery that much more of the human genome is transcribed and contains regulatory information than was previously appreciated, and a high diversity of transcription factor binding occurs both between and within species. He has also combined different state-of–the-art “omics” technologies to perform the first longitudinal detailed integrative personal omics profile (iPOP) of person and used this to assess disease risk and monitor disease states for personalized medicine.
He is a cofounder of several biotechnology companies, including Protometrix (now part of Life Tehcnologies), Affomix (now part of Illumina), Excelix, and Personalis, and he presently serves on the board of a number of companies.
Joseph R. Ecker, is Salk International Council Chair in Genetics, Howard Hughes Medical Institute and Gordon and Betty Moore Foundation Investigator, and a Professor in Plant Molecular and Cellular Biology Laboratory. He is one of the nation's leading authorities on the molecular biology and genetics of plants. Ecker was a principal investigator in the multinational project that sequenced the genome of Arabidopsis thaliana, a modest weed that has become a model organism for the study of plant genetics. This wild mustard variety is the first plant to have its genome sequenced, an achievement expected to have widespread implications for agriculture and perhaps human medicine as well.
Ecker is also widely regarded as one of the foremost experts on how the gaseous hormone ethylene regulates a variety of basic plant processes. For agriculture, ethylene gas is a vital chemical messenger important for such processes as fruit ripening and how plants respond to pathogenic organisms.
Anshul Kundaje is an Assistant Professor at Stanford with the Dept. of Genetics and Dept. of Computer Science since Sept 2013. From 2003-2008, he was a PhD student in Christina Leslie's lab in the Computer Science Dept. at Columbia University in New York. He developed Machine Learning methods for modeling transcriptional gene regulation in yeast and worm. From 2008 - 2012, he was a Postdoctoral Research Associate with Serafim Batzoglou and Arend Sidow in the Computer Science Dept. at Stanford University. He served as one of the lead data coordinators and computational analysts for the ENCODE consortium. His primary focus was on deciphering heterogeneity of regulatory interactions in the human genome. He also developed ENCODE's ChIP-seq statistical data analysis pipeline. Before returning to Stanford as a faculty member, He was a Research Scientist in Manolis Kellis' lab (2012-2013) studying epigenomic and chromatin state dynamics across organisms, cell-types and individuals as part of the Roadmap Epigenomics Project and the mod/ENCODE (Encyclopedia for DNA elements) consortium.
Kundaje’s research focus is the development of machine learning and computational frameworks to learn integrative models of transcriptional and post-transcriptional gene regulation from massive amounts of diverse sequence, genetic and functional genomic datasets.
Robert Tibshirani is a Professor in the Departments Health Research and Policy and Statistics at Stanford University. In his work he has made important contributions to the analysis of complex datasets, most recently in genomics and proteomics. His most well-known contribution is the Lasso, which uses L1 penalization in regression and related problems. He has co-authored over 200 papers and three books. Professor Tibshirani co-authored the first study that linked cell phone usage with car accidents, a widely cited article that has played a role in the introduction of legislation that restricts the use of phones while driving. He is one of the most widely cited authors in the entire mathematical sciences field. Professor Tibshirani is a Fellow of the American Statistical Association, the Institute of Mathematical Statistics and the Royal Society of Canada. He won the prestigious COPSS Presidents's award in 1996, the NSERC Steacie award in 1997 and was elected to the National Academy of Sciences in 2012.