Session Abstract – PMWC 2019 Silicon Valley
Session Synopsis: Understanding the relationship between the millions of functional DNA elements and their protein regulators, and how they work in conjunction to manifest diverse phenotypes, is a key to advancing our understanding of the human genome and diseases. As the cost of DNA sequencing continue to drop, the interpretation of the ever increasing amount of data generated represents a considerable challenge.
Session Chair Profile
VP, Strategy and Marketing, DNAnexus
Brady brings over 15 years experience as an innovator and leader in the life sciences space as well as the hospital ACO and consumer health and wellness industries. Prior to DNAnexus, Brady was head of strategy and market development for Illumina with a special focus on Informatics and driving opportunities to use genetics data as clinical utility. Brady serves on the board of multiple non-profit organizations including the Global Alzheimer’s Association Interactive Network (GAAIN), Cancer Commons, Ci4CC, and is Co-Chair of the Advisory Board for the University of Washington Center for Commercialization (C4C). Brady is a graduate of University of Washington.
Ph.D., Professor, Department of Genetics, Stanford University
The Cherry lab’s research involves identifying, validating and integrating scientific information into encyclopedic databases essential for investigation as well as scientific education. Published results of scientific experimentation are a foundation of our understanding of the natural world and provide motivation for new experiments. Curation, extraction and sorting of factual experimental data, of peer-reviewed journal articles are necessary to acquire these data from its source. Large quantitative datasets using global studies extend our knowledge of genes and their functions, and the organization of chromatin and its impact on development and gene expression. By integrating quantitative datasets with curated focused experimental results creates unique comprehensive databases. The Cherry Lab creates such essential resources for the integration of shared data, standardization of data models and interfaces, and makes them available to scientists and educators seeking to understand experimental results and to teach scientific knowledge.
Ph.D., Senior Director of Genomics, AncestryDNA
Dr. Eurie Hong leads the AncestryDNA genomics team in the development of algorithms that integrate genomic data from 10+ million customers with 100+ million pedigrees and 20+ billion records to help individuals discover their family history. Her research interests include developing computational and bioinformatic solutions that are used to identify biological insights from genomes and genomic data. She has worked on the annotation of the yeast, S. cerevisiae, as well as building data models that facilitate the integration of high-throughput genomic data. Dr. Hong received her Ph.D. in Molecular Genetics and Cell biology at the University of Chicago.
Ph.D., Assistant Professor, Biomolecular Engineering, University of California Santa Cruz; Associate Director, UC Santa Cruz Genomics Institute
Dr. Paten studied neuroscience as an undergraduate at University College London, gained a graduate diploma in Computer Science from Cambridge University and then a Ph.D. in Computational Biology jointly with the European Molecular Biology Laboratory (EMBL) and Cambridge University. He did his postdoctoral work at the University of California, Santa Cruz under the direction of David Haussler. He is now focused broadly on computational genomics and is particularly motivated by questions of genome evolution and how the genome shapes diversity within and between species. In 2015, he started the Computational Genomics Lab (CGL) within the UC Santa Cruz Genomics Institute. As leader of the CGL he mentors and manages a growing team of around 40 people, comprising undergraduate and graduate students, postdoctoral scholars and engineers in a research group with a broad remit spanning genomics.