A collage of photos taken at the 2018 UW Data Science Summit

The Northwest Data Science Summit (NDSS) is a two-day conference featuring educational and networking opportunities for students, faculty, researchers, industry affiliates and community members. The NDSS will be held May 7 and 8, 2019, in the Husky Union Building (HUB) South Ballroom, and will be held in collaboration with the Data Science Institute at the University of British Columbia (UBC).

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

**CLICK HERE TO REGISTER**

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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

  • Cloud/HYAK + GPUs tutorial
  • Writing reproducible research with R and Markdown
  • Quantitative cell biology and communities
  • Deep learning
The planning committee chairs
Ione Fine, UW Psychology
Sasha Aravkin, UW Applied Math

The steering committee
Magda Balazinska, eScience Institute Director
Raymond Ng, University of British Columbia Computer Science
Jim Pfaendtner, Clean Energy Institute, Director and Principal Investigator of Data Intensive Research Enabling Clean Technologies (DIRECT)
Sarah Stone, eScience Institute Executive Director
Publicity Chair: Robin Brooks, eScience Institute Communications Associate

The University of British Columbia and eScience Institute logos