Exploring Personal Genomics
ATTENTION: You must signup in advance to attend this workshop. You will need to have a valid SXSW badge, and an activated SXsocial account. To reserve your seat, please go here: https://sup.sxsw.com/schedule/IAP27289
Rapid advances in personal genome sequencing technologies have given unprecedented insights into the fundamental biological nature of our selves and our species: where we came from, how we are born, how we interact with our environment, how we get sick, and how we age. Our Exploring Personal Genomics workshop offers an interactive guide to understanding the many exciting applications of personal genomic information. We provide a basic background of genomics and information on how to obtain and understand digital representations of personal genomic data. Next, we discuss tools for exploring the personal genomics of ancestry and genealogy, interpretation of genetic disease associations, and the role of personal genomics in drug response. Additionally, we explore more advanced topics, such as interactions between a personal genome and the environment and connecting DNA to physiology. Participants are encouraged to follow along if they have personal genetic data.
- This workshop is more ideal for the scientifically-inclined, and individuals with personal genetic data (particularly 23andMe data), but all are welcome.
What to Bring:
- If you have personal 23andMe data, bring that and a laptop (with a modern browser, ideally Chrome).
Mount Sinai School of Medicine
Jeff Hammerbacher is a founder and the Chief Scientist of Cloudera, and an Assistant Professor at the Icahn School of Medicine at Mount Sinai. Jeff was an Entrepreneur in Residence at Accel Partners immediately prior to founding Cloudera. Before Accel, he conceived, built, and led the Data team at Facebook. Before joining Facebook, Jeff was a quantitative analyst on Wall Street. Jeff earned his Bachelor's Degree in Mathematics from Harvard University.
Mount Sinai School of Medicine
Dr. Joel Dudley is Assistant Professor of Genetics and Genomic Sciences and Director of Biomedical Informatics at Mount Sinai School of Medicine. His current research is focused towards solving key problems in genomic and systems medicine through the development and application of translational and biomedical informatics methodologies. Dr. Dudley's publications cover topics in bioinformatics, genomic medicine, personal and clinical genomics, as well as drug and biomarker discovery. His recent work with co-authors describing a novel systems based approach for computational drug repositioning was featured in the Wall Street Journal, and earned designation as the NHGRI Director's Genome Advance of the Month. Dr. Dudley received a Ph.D. in Biomedical Informatics from Stanford University School of Medicine. Dr. Dudley speaks frequently on topics related to genomics, personalized medicine, and Big Data in healthcare at venues around the world.
Konrad J. Karczewski is a genome scientist, bringing systems-level approaches to the study of human disease biology. He was involved with the pioneering course at Stanford University in Personalized Medicine and Genomics, where he led the development of a platform for personal genotype interpretation, the Interpretome. Konrad earned a B.A. in Molecular Biology from Princeton University and an Ph.D. in Biomedical Informatics from Stanford University. He is currently a postdoctoral fellow at Massachusetts General Hospital and the Broad Institute.