3rd Annual IMDS Symposium
Tuesday, June 2nd, 2026
UW Center for Urban Horticulture
8:30 AM – 3:30 PM
8:30 – 9:00: Registration
9:00 – 9:30: Opening Remarks
Shawn Murphy, MD, PhD and Peter Tarczy-Hornoch, MD
9:30 – 10:00: UW Leadership Presentation
Andrew Connolly, PhD, Associate Vice Provost for Data Science and AI, Director of eScience Institute
Talk title: “Building out Data Science and AI across a Campus”
10:00 – 10:30: Keynote Speaker
Jeff Leek, PhD, Vice President and Chief Data Officer, Fred Hutch Cancer Center
Talk Title: “Building, Scaling and Using AI Engines“
10:30 – 10:45: Break
10:45 – 11:45: Poster Lightning Talks
“Clinical validation of an explainable deep learning model for cancer detection and triaging in breast MRI screening”
– Presented by Suleeporn Sujichantararat (Yui), PhD, Postdoctoral Scholar (Radiology)
“Spatial Graph Neural Networks for Multiscale Treatment Response Prediction with Conformal Uncertainty in Metastatic NSCLC”
– Presented by Faisal Yaseen, PhD Student (BIME)
“Who Benefits, Who Is Harmed? Estimating the Distribution of Treatment Effects”
– Presented by Nolan Cole, PhD Student (Biostatistics)
“Evaluating Agentic AI for Infectious Disease Outbreak Modeling and Intervention-Specific Public Health Decision Support”
– Presented by Suphanat Wongsanuphat, MD, MS; PhD Student (BIME)
“Identifying American Indian and Alaska Native Patients at Risk for Unsuppressed Viral Load using Electronic Health Record Data”
– Presented by Haoyun (Elizabeth) Hong, PhD Student (BIME)
11:45 – 1:00: Lunch Break / Poster Viewing
Posters will be available for viewing all day in Merrill Commons
– Researchers will be available to talk about their work during the last half hour of lunch (12:30-1:00)
1:00 – 2:30: Pilot Award Presentations (2024 and 2025 recipients)
“Using Temporality, Dose Effect, and Co-Medication to Improve Drug Safety Surveillance”
– Presented by Trevor Cohen, PhD, BIME
“Multimodal Data and AI for Uncertainty-Aware Prediction of Lung Cancer Treatment Response”
– Presented by Faisal Yaseen, PhD Student (BIME)
“Data Pipeline Development for Curation of Geriatric Trauma Outcome prognostication”
– Presented by Zoljargal (Zoey) Lkhagvajav MD, Postdoctoral Scholar (BIME)
“AutoRELATE: Teaching Machines to Recognize Meaningful Connection in Clinical Encounters”
– Presented by Aishwarya Raj, PhD Student (BIME)
“Machine Learning-based Analysis of Auditory Signal Processing to Predict Extubation Failure in Patients with Severe Acute Brain Injury”
– Presented by James Town MD, UW Division of Pulmonary, Critical Care and Sleep Medicine
2:30 – 3:00: Future Direction of IMDS
Shawn Murphy, MD, PhD, Chief Research Information Officer & Professor, BIME; Neurology
3:00 – 3:30: Closing Remarks
Shawn Murphy, MD, PhD, Chief Research Information Officer & Professor, BIME; Neurology
If you are joining us virtually, here is the link to the Zoom meeting, which will be monitored by an on-site moderator during presenters’ Q&A sessions. The Meeting ID is 816 8406 0205, and the password is 631913.