Join us for the inaugural 2019 Northwest Data Science Summit jointly sponsored by the University of Washington eScience Institute and the Data Science Institute at the University of British Columbia.

This event will be held Tuesday, May 7th (9:15 a.m. to 5:30 p.m.) and Wednesday, May 8th (9:00 a.m. to 3:30 p.m.) in the South Ballroom of the Husky Union Building (HUB) on the University of Washington campus. A unique educational and networking opportunity for students, faculty, staff, and community members, the Summit will feature:

Keynote presentations by Christopher J.L. Murray, Director of IHME, 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, submissions have now closed
Prizes for "best-of" posters and lightning talks - indicate interest on registration form
Social gatherings including coffee, two lunches, and a celebratory reception

**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: Registration table opens, poster presenters may set up posters in the South Ballroom

9:50: Welcome: Ione Fine, Summit Co-Chair, UW Psychology

10:00-10:50 - Keynote address: Chris Murray, Director of the UW Institute for Health Metrics and Evaluation, "Quantifying world health and the options to improve it"

Christopher J.L. Murray, MD, DPhil, is the Chair and Professor of Health Metrics Sciences and Director of the Institute for Health Metrics and Evaluation (IHME) at the University of Washington. His career has focused on improving health for everyone worldwide by improving health evidence. A physician and health economist, his work has led to the development of a range of new methods and empirical studies to strengthen health measurement, analyze the performance of public health and medical care systems, and assess the cost-effectiveness of health technologies.

11:00-11:15 - Coffee Break

11:15-12:30 – Session 1 Talks, order may shift

Gabriela Cohen-Freue, UBC Statistics, “A quantitative view to the central dogma of Biology”
Eric Shea-Brown, UW Applied Mathematics, “When and why do high-dimensional networks produce low-dimensional dynamics?”
Ariel Rokem, UW eScience Institute, “Understanding the brain with open data and open source software”

12:30-1:30 - Networking Lunch, poster presenters may set up posters in the South Ballroom

1:30-3:00 - Session 2 Talks, order may shift

Minsun Kim, UW Radiation Oncology, "Data Science in Radiation Oncology - Dynamic Adaptive Radiotherapy"
Andy Roth, UBC Pathology & Laboratory Medicine, “Machine Learning Methods for Studying Cancer Evolution”
Trevor Bedford, Fred Hutch, “Real-time tracking of virus evolution”
Kendall Ho, UBC Emergency Medicine, “Home Health Monitoring and Beyond: Data Science Opportunities and Considerations”

3:00-3:15 - Coffee Break

3:15-4:00 - Lightning Talks

4:00-5:30 - Poster Session + Reception

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

8:30 - Registration table opens

9:00-09:50 - Keynote address: Jeff Wilcox, Vice President of Digital Initiatives for Lockheed Martin

Jeffrey (Jeff) Wilcox is Vice President for Digital Transformation at Lockheed Martin. He oversees the Digital Transformation Office (DTO) and is responsible for the design, development, and implementation of Lockheed Martin’s operations strategy. This office is chartered with leveraging emerging digital technologies to transform systems design, production, and sustainment and ensuring the workforce and systems are in place to enable successful transformation. Mr. Wilcox earned his Bachelor of Science degree in biomedical engineering from Case Western Reserve University and his Master of Science degree in electrical engineering from Drexel University.

10:00-10:15 - Coffee Break

10:15-12:00 - Session 3 Talks, order may shift

Jim Pfaendtner, UW Chemical Engineering, “Applications of Data Science for Bespoke Molecules”
Nathan Kutz, UW Applied Mathematics, “Neural networks and deep learning for the discovery of governing equations in physics and engineering”
Kristi Morgansen, UW Aeronautics & Astronautics, "Integrated Sensing and Actuation in Autonomous and Networked Systems"
Trevor Campbell, UBC Statistics, “Turning Big Data into Small Data: Summarization for Large-Scale Inference”
Alison Gray, UW Oceanography, “Going with the flow: Multi-scale locally stationary spatio-temporal interpolation of global ocean velocity data”

12:00-1:00 - Networking Lunch

1:00-1:40 - Lightning Talks

1:40-1:50 - Presentation of Awards

1:50-2:00 - Transition to breakout rooms, coffee available

2-3:30 - Breakout Tutorials/Discussion, concurrent sessions

Cloud/HYAK + GPUs tutorial – Rob Fatland & Nam Pho, UW-IT
Writing reproducible research with R and Markdown – Ben Marwick, UW Anthropology
Quantitative cell biology and communities – Joe Hellerstein, UW eScience Institute, & David Beck, UW Chemical Engineering/eScience Institute
Deep learning – Ariel Rokem, UW eScience Institute

Find more information about the Summit visit: https://escience.washington.edu/northwest-data-science-summit/

For more information about the UBC Data Science Institute visit: https://dsi.ubc.ca/

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Northwest Data Science Summit