Northwest Data Science Summit

The Summit will feature:

• Keynote presentations by Christopher J.L. Murray, director of the Institute for Health Metrics and Evaluation, and Jeff Wilcox, vice president of digital initiatives for Lockheed Martin
• Prominent experts discussing data science methods and applications
• Tutorials, discussions, a poster session, and lightning talks
• Prizes for “best-of” posters and lightning talks – indicate interest on registration form
• Social gatherings including coffee, two lunches, and a celebratory reception

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EVENT SCHEDULE

Day 1: Tuesday May 7th – This day will showcase the use of data science across a wide range of health and neuroscience applications

9:15 a.m.: Registration table opens, poster presenters may set up posters in the South Ballroom

10:00 – 10:50 a.m. – Keynote address: Chris Murray, Director of the UW Institute for Health Metrics and Evaluation

11:00 – 11:15 a.m. – Coffee break

11:15 a.m. – 12:30 p.m. – Session 1 talks, order may shift

• Gabriela Cohen-Freue, “A quantitative view to the central dogma of Biology”
• Eric Shea-Brown, “When and why do high-dimensional networks produce low-dimensional dynamics?”
• Trevor Bedford, “Real-time tracking of virus evolution”

12:30 – 1:30 p.m. – Networking lunch, poster presenters may set up posters in the South Ballroom

1:30 – 3:00 p.m. – Session 2 talks, order may shift

• Kendall Ho, “Home Health Monitoring and Beyond: Data Science Opportunities and Considerations”
• Ariel Rokem, “Understanding the brain with open data and open source software”
• Andy Roth, “Machine Learning Methods for Studying Cancer Evolution”

3:00 – 3:15 p.m. – Coffee break

3:15 – 4:00 p.m. – Lightning talks

4:00 – 5:30 p.m. – Poster session + reception

Day 2: Wednesday May 8th – This day will showcase the use of data science in engineering and CS applications

8:30 a.m. – Registration table opens

9:00 – 9:50 a.m. – Keynote address: Jeff Wilcox, Vice President of Digital Initiatives for Lockheed Martin

10:00 – 10:15 a.m. – Coffee break

10:15 a.m. – 12:00 p.m. – Session 3 talks, order may shift

• Jim Pfaendtner, “Applications of Data Science for Bespoke Molecules”
• Nathan Kutz, “Neural networks and deep learning for the discovery of governing equations in physics and engineering”
• Kristi Morgenstein, TBD
• Trevor Campbell, “Turning Big Data into Small Data: Summarization for Large-Scale Inference”
• Alison Gray, “Going with the flow: Multi-scale locally stationary spatio-temporal interpolation of global ocean velocity data”

12:00 – 1:00 p.m. – Networking lunch

1:00 – 1:45 p.m. – Lightning talks

1:45 – 2:00 p.m. – Transition to breakout rooms, coffee available

2:00 – 3:30 p.m. – Breakout tutorials/discussion, concurrent sessions