Early Career Investigators Meeting on Quantitative Problems in Human Genetics and Health (16w5078)
Organizers
Noah Zaitlen (University of California San Franacisco)
Julien Ayroles (Princeton University)
Michael Hoffman ()
Tuuli Lappalainen (New York Genome Center)
Jennifer Listgarten (Microsoft Research)
Description
The Banff International Research Station will host the "Early Career Investigators Meeting on Quantitative Problems in Human Genetics and Health (HALF)" workshop from January 10th to January 15th, 2016.
Recent advances in DNA sequencing technology coupled with substantial public investment in research to uncover the genetic basis of human disease have radically changed the field of genetics. While this decade has enjoyed an unprecedented opportunity to solve unanswered questions from the past hundred years of theoretical work, many research programs have fallen short of their stated goals of advancing personalized medicine. Given the enormous potential impact of using genetics to improve human health, we must develop a new generation of statistical and computational methods capable of fully leveraging contemporary resources and cellular technologies. To this end, our workshop will include topics on recent and upcoming advances in population genetic theories of phenotype; statistical challenges and solutions relevant to “big data” cohorts; characterization of cellular mechanisms underlying genetic risk factors; and computational issues in heterogeneous, high throughput data. This workshop will bring together an international group of top early-career investigators and future leaders of the field to discuss their latest insights into these problems.
The Banff International Research Station for Mathematical Innovation and Discovery (BIRS) is a collaborative Canada-US-Mexico venture that provides
an environment for creative interaction as well as the exchange of ideas, knowledge, and methods within the Mathematical Sciences, with related disc
iplines and with industry. The research station is located at The Banff Centre in Alberta and is supported by Canada's Natural Science and Engineeri
ng Research Council (NSERC), the U.S. National Science Foundation (NSF), Alberta's Advanced Education and Technology, and Mexico's Consejo Nacional
de Ciencia y Tecnología (CONACYT).
