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Test Agenda

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Agenda

The 2023 UW Medical Data Science Symposium takes place February 27–28 in the Husky Union Building Lyceum (4001 East Stevens Way NE, Seattle, WA 98195 map).

The agenda below is subject to change.

Day 1: February 27, 12:00–5:45pm

12:00–12:30pm — Registration

Meet us in the HUB Lyceum (Room 160 on the map below). Light snacks and refreshments will be available.


click to enlarge map

12:30–12:45pm — Welcome and Introductory Remarks

  • Sean Mooney, PhD, CRIO, UW Medicine

12:45–3:15pm — Introduction to Medical Data Science, Part I
Session Moderator: Sean Mooney, CRIO, UW Medicine

  • Overview of Medical Data Science (12:45–1:15pm)
    • Sean Mooney, CRIO, UW Medicine
    • Ali Shojaie, Professor and Associate Chair for Strategic Research Affairs , Biostatistics
  • Human-AI Collaboration Enables More Empathic Conversations in Mental Health Support (1:15—1:45pm)
    • Tim Althoff, Professor, UW Allen School of Computer Science & Engineering 
  • Introduction to Digital Health and AI (1:45—2:15pm)
    • Anind Dey, Dean, UW Information School
  • Software as a Medical Device (2:15—2:45pm)
    • Lynn Rose, Affiliate Associate Professor, UW School of Pharmacy
    • Mike Willingham, Director of Regulatory Affairs, Google Health
  • Computational Analysis of Biomedical Language: Recent Developments and Ongoing Projects (2:45pm—3:15pm)
    • Trevor Cohen, Professor, UW Biomedical Informatics and Medical Education
    • Meliha Yetisgen, Professor, UW Biomedical Informatics and Medical Education

3:15–3:30pm — Break

Coffee, cookies and other refreshments will be available. Restrooms are available outside the Lyceum in the main hall of the HUB.

3:30–5:30pm — Introduction to Medical Data Science, Part II
Session Moderator: Peter Tarczy-Hornoch, MD, Professor and Chair, UW Biomedical Informatics and Medical Education

  • AI and Big Data Ethics in the Age of Transformative Technology (3:30–4:00pm)
    • Diane Korngeibel, AI Principles Ethicist and ELSI Scholar, Responsible Innovation, Google
  • Advanced Diagnostics (4:00–4:30pm)
    • Dushyant Sahani, Professor and Chair, UW Medicine Department of Radiology
  • Access and Use of UW Clinical Data for Research Use (4:30–5:00pm)
    • Bas de Veer, Assistant Director, UW Medicine Research IT
    • Nic Dobbins, Principal Solutions Architect, UW Medicine Research IT
  • Implementing AI models at UW Medicine and Integration with Epic (5:00—5:30pm)
    • Beth Britt, Director of Data & Analytics, UW Medicine
    • Patrick Davis, Lead Epic Research Analyst, UW Medicine Research IT

5:30–5:45pm — Closing Remarks and Day 2 Intro

  • Sean Mooney, PhD, CRIO, UW Medicine

Day 2: February 28, 8:00am–5:30pm

8:00–8:30am — Registration

Coffee and pastries will be available.

8:30–8:45am — Welcome and Introductory Remarks

  • Sean Mooney, CRIO, UW Medicine (Session Moderator)
  • Mark Richards, Provost and Executive Vice President for Academic Affairs, University of Washington
  • Eric Neil, CIO, UW Medicine

8:45–10:00am — Short Talks: UW Centers & Facilities
Session Moderator: Dushyant Sahani, MD, Professor and Chair, UW Medicine Radiology

  • Cecilia Lee, MD, MS, Associate Professor, UW Medicine Bridge2AI and Computational Ophthalmology
  • Nathan Kutz, PhD, Professor, UW AI Institute for Dynamic Systems
  • Jerry Jarvik, MD, MPH, Professor, UW Clinical Learning, Evidence, And Research (CLEAR) Center for Musculoskeletal Disorders
  • David Beck, PhD, Director of Research and Education, UW eScience Institute
  • Sarah Biber, PhD, Program Director, National Alzheimer’s Coordinating Center
  • Walter Kukull, PhD, Professor and Director, National Alzheimer’s Coordinating Center

10:00–10:45am — Break

Coffee and snacks will be available.

10:45–11:45am — Keynote Address
Session Moderator: Su-In Lee, Professor, UW Allen School of Computer Science & Engineering

  • Translating a Trillion Points of Data into Therapies, Diagnostics, and New Insights into Disease
    • Atul Butte, Priscilla Chan and Mark Zuckerberg Distinguished Professor and Director, Bakar Computation Health Sciences Institute, UC San Francisco 

11:45am–12:15pm — Breakout Session Intro and Lunch

  • Sean Mooney, CRIO, UW Medicine

12:15–1:30pm — Breakout Session

Breakout Session 1: Room 145

  • Technical Platforms at UW Medicine for AI and the Learning Health System
    • Kristen Yeoman, MD
    • Sara Biber, PhD, Program Director, National Alzheimer’s Coordinating Center

Breakout Session 2: Room 250

  • Care Delivery Transformation & Advanced Diagnostics
    • Graham Nichol, MD, MPH, Professor, UW School of Medicine, Department of Internal & Emergency Medicine 
    • Swatie Rane, PhD, Assistant Professor, UW School of Public Health, Department of Epidemiology

Breakout Session 3: Room 345

  • Title to come
    • Diane Korngeibel, DPhil, AI Principles Ethicist and ELSI Scholar, Responsible Innovation, Google
    • Oliver J. Bear Don’t Walk IV, PhD, Postdoctoral Scholar, UW Biomedical Informatics and Medical Education

HUB 1st Floor Map

HUB 2nd Floor Map

HUB 3rd Floor Map
1:30–2:45pm — Short Talks: Abstracts & Invited Speakers, Part I
Session Moderator: tbd

  • Self-Tracking in Health: Design Challenges and Opportunities (1:30–1:45)
    • James Fogarty, Professor, UW Allen School of Computer Science & Engineering 
  • Semi Supervised Learning Improves Model Performance for Retinal Vessel Segmentation on Infrared Reflectance Imaging (2:05–2:15)
    • Anand Rajesh
  • more to be announced

2:45–3:00pm — Break

Coffee and snacks will be available.

3:00–3:45pm — Panel Discussion: An Industry Perspective of Medical Data Science
Session Moderator: Shwetak Patel, Professor, UW Allen School of Computer Science & Engineering 
3:45–4:30pm — Short Talks: Abstracts & Invited Speakers, Part II
Session Moderator: tbd

  • Comparative Evaluation of Commercial AI Products for Mammography Screening (3:45–3:55)
    • Christoph Lee
  • TCR-L: an analysis tool for evaluating the association between the T-cell receptor repertoire and clinical phenotypes (3:55–4:05)
    • Meiling Liu
  • HarborBot: Chatbot for Social Needs Screening (4:05–4:15)
    • Gary Hsieh
  • Augmenting traditional ML with VAE-based gene expression sample generation for improved prediction of cancer molecular subtypes (4:15–4:25)
    • Brian Karlberg

4:30–5:30pm — Closing Remarks, Poster Session & Reception

  • Sean Mooney, CRIO, UW Medicine