The Science & Technology Discovery Series is a breakfast program that showcases timely topics in science and technology. The purpose is to educate the interested layperson about new developments in science and technology, and to emphasize the importance and contributions of our research institutions.
2007-08 Season Speakers
September 14, 2007: Dr. Mark Roth, Cell Biologist and Full Member, Fred Hutchinson Cancer Research Center - Topic: Metabolic flexibility and the feasibility of human hibernation.
October 12, 2007: Tom Vander Ark, President, X Prize Foundation - Topic: Revolution through competition.
November 9, 2007: Dr. David Sherman, Principal Investigator, Seattle Biomedical Research Institute - Topic: Tuberculosis (TB) virulence and drug discovery.
December 14, 2007: Dr. Chris Elias, President, PATH - Topic: Recent programs and advances in improving the health of people around the world.
January 11, 2008: Dr. Nalini Nadkarni, Faculty, The Evergreen State College - Topic: Ecology of tropical and temperate forest canopies, particularly the role that canopy-dwelling plants play in forests at the ecosystem level.
February 8, 2008: Dr. Christopher Murray, Director, Institute for Health Metrics and Evaluation, UW - Topic: Guiding international policymaking by providing high-quality data and analysis on health needs and outcomes, and assessing the performance of health programs.
March 14, 2008: Dr. Tomas Mustelin, Vice President of Inflammation, Amgen - Topic: Inflammation research and drug discovery.
April 11, 2008: Dr. Steve Bollens, Professor, School of Biological Sciences, Director of Science Programs, Interim Director, School of Earth and Environmental Sciences, Washington State University, Vancouver - Topic: Ecology of marine and estuarine zooplankton and fish.
May 16, 2008: Mike Schwenk, Vice President and Director of Technology Deployment and Outreach, Pacific Northwest National Laboratory - Topic: $2B++ of R&D in Washington state...so what?.
June 13, 2008: Dr. Oren Etzioni, Founder, Farecast, and Professor, Computer Science & Engineering, UW - Topic: Predictive technologies.