April 3 & 4 in the HUB

People gathered near tables talking to one anotherJoin us for the inaugural 2018 UW Data Science Summit! This event will be held Tuesday, Apr. 3 and Wednesday, Apr. 4 in the Husky Union Building (HUB). A unique educational opportunity for students, faculty, staff and community members, the Summit will feature:

  • Prominent experts discussing data science
  • Tutorials, break-out sessions, working groups, a poster session, and lightning and industry talks
  • An instructional on how a department can make its own data science option
  • Prizes for best-of posters and talks
  • Networking opportunities and celebratory receptions

Preregistration is required and space is limited! Register now on EventBrite: https://www.eventbrite.com/e/uw-data-science-summit-tickets-43217951055! The cost is $50 for general admission tickets and $10 for UW students.

Congratulations to this year’s contest winners!

Lightning Talks
Best Talk: Mayoore Jaiswal, Electrical Engineering & Global Good Research
Honorable Mention: Tony Cannistra, Biology

Posters
Best Poster: Kelsey Maass, Applied Mathematics
Honorable Mention: Kaelan Yu, Department of Medicine

Event schedule

First day program, April 3

8:15 a.m. Coffee and light continental breakfast

8:45 to 9 a.m. Welcome by Assistant Prof. Bing Brunton and eScience Institute Director Dr. Magdalena Balazinska

9 to 10 a.m. Keynote by Prof. Jevin West (Information School), chaired by Assistant Prof. Bing Brunton

10 a.m. Coffee break

10:30 a.m. to 12:10 p.m. Invited talks, session one, chaired by Prof. Tom Daniel

  • Assistant Prof. Zaid Harchaoui, Statistics, “Statistical Change-point Detection for Oceanographic Data”
  • Assistant Prof. Rory Barnes, Astronomy, “Data Challenges in the Search for Life in the Universe”
  • Assistant Prof. James Long, Political Science, “Stopping Election Hacking with ICT, Digital Media, & Crowd-Sourced Monitoring”
  • Assistant Prof. Dr. Aaron Lee, Opthamology, “Applications of Deep Learning AI Algorithms to Ophthalmology and Vision Science”
  • Assistant Prof. Elaine Nsoesie, Global Health, “Using Machine Learning and Digital Data to Study Obesity in the United States”

12:10 to 1:30 p.m. Catered lunch

1 to 1:30 p.m. Lightning talks by postdoctoral fellows and PhD students, chaired by Executive Directors Sarah Stone or Micaela Parker

1:30 to 2 p.m. Poster session

2 to 2:30 p.m. Lightning talks by postdoctoral fellows and PhD students, chaired by Executive Directors Sarah Stone or Micaela Parker

2:30 to 3 p.m. Poster session

3 to 3:15 p.m. Coffee and snacks

3:15 to 3:45 p.m. Cross-sector lightning talks, chaired by Executive Directors Sarah Stone or Micaela Parker

3:45 to 5 p.m. Invited talks, session two, chaired by Tyler McCormick

  • Dr. Molly Maleckar, Allen Institute, “Using Machine Learning to Capture Variation and Integrate Cells”
  • Software Engineer Elliot Brossard, Google, “Analyzing Public Datasets with BigQuery”
  • Director of Data Science Vani Mandava, Microsoft, “Enabling Data Science Research on the Azure Cloud”
  • Sr. Research Scientist Dr. Anthony Arendt, eScience Institute, “Data Science Tools to Enhance Collaboration in the Geosciences”

5 p.m. Catered reception with networking

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Second day program, April 4

8:30 a.m. Coffee and light continental breakfast

9 to 10 a.m. Welcome and keynote by Prof. Emily Fox (Paul G. Allen School of Computer Science & Engineering and Dept. of Statistics), chaired by eScience Institute Director Dr. Magdalena Balazinska

10 to 10:30 a.m. Coffee break

10:30 a.m. to 12:15 p.m. Invited talks, session three, chaired by Sr. Data Science Fellow Prof. Andrew Connolly

  • Associate Prof. Noah Smith, Computer Science and Engineering, “New Methods for Text as Data”
  • Assistant Prof. Abhi Borah, Michael G. Foster School of Business, “Perverse Spillover in Brands”
  • Sr. Software Development Manager Mehul Shah, Amazon Web Services, “AWS Glue: Serverless Data Integration and Beyond”
  • Sr. Data Scientist Dr. Valentina Staneva, eScience Institute, “Tools for Reproducible Research”
  • Associate Director Dr. Daniela Huppenkothen, Astronomy, “From Asteroids to Black Holes: Data Science for Time Domain Astronomy”

12:15 to 1:30 p.m. Catered lunch

1:00 to 1:45 p.m. Short talks on eScience activities and programs, chaired by Director of Research Dr. David Beck

1 p.m.: eScience Institute Director Magdalena Balazinska, “Mission of the eScience Institute”
1:20 p.m.: C0-Executive Director Sarah Stone, eScience Institute, “The Data Science for Social Good Program”
1:25 p.m.: Sr. Research Scientist Dr. Anthony Arendt, eScience Institute, on the benefits of hack weeks
1:30 p.m.: Associate Professor of Electrical Engineering Maryam Fazel, on the Algorithmic Foundations of Data Science Institute
1:35 p.m.: Data Management Librarian Jenny Muilenberg, UW Libraries, on libraries and data science

1:40 p.m. to 2 p.m. Walk to tutorial rooms

2 to 3:30 p.m. Tutorials, including:

  • Sr. Data Scientist Dr. Ariel Rokem: Deep Learning
  • PhD Candidate Anissa Tanweer and Data Scientist Bernease Herman: Data Ethics
  • Cloud Technology Lead Dr. Amanda Tan, UW Director of Cloud and Data Solutions Dr. Rob Fatland and Prof. Greg Miller: Data Science Infrastructure: Public Clouds and the UW Data Center
  • Assistant Prof. Bing Brunton and eScience Institute Director Dr. Magdalena Balazinska: Data Science Education at the UW

3:30 to 4 p.m. Coffee, snacks, and goodbyes

Transportation

We recommend carpooling, biking or taking public transit (plan your bus route here). You may park your vehicle at the Central Plaza Garage, or in the bottom two levels of the Padelford Garage. *Parking Services does not guarantee space in any lot for events where attendees are paying for their own parking.* Please be advised that in Padelford the rate is $3 per hour; in the Central Plaza Garage it is $15 for the whole day.

Organizing Committee:

Bing Brunton, program chair
Magdalena Balazinska
Robin Brooks
Micaela Parker
Sarah Stone

This event is hosted by the eScience Institute, the Master of Science in Data Science Program, and others.

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