Showcasing data science in the arts, engineering, humanities, and sciences.
The UW Data Science Seminar is an annual lecture series at the University of Washington that hosts scholars working across applied areas of data science, such as the arts, engineering, humanities and sciences along with methodological areas in data science, such as computer science, applied math and statistics. Our presenters come from all domain fields and include occasional external speakers from regional partners, governmental agencies and industry.
Click here to sign up to give a seminar!
The 2025-2026 seminars are in person on the UW campus, and are free and open to the public. Students may opt to sign up for a one credit seminar (CR/NCR) listed as ENGR 591, “Data Science Seminar.”
Seminars will be held in IEB G109.
Spring 2026 Seminars
April 1st
“Evaluating the Impact of Precipitation Forcing on Machine Learning Streamflow Modeling” with Hernán Querbes
Winter 2026 Seminars
January 8th
“Creating a code base for on- and offline analysis of ultrafast X-ray spectroscopy data recorded at the chemRIXS instrument” with Amke Nimmrich
January 16th
“Measuring International Organization’s Distributions: Rethinking How We Measure Group Composition” with Jihyeon Bae
January 22nd
“Using AI/ML Models to Predict Cross-Family Ligand Binding to VEGFR” with Ike Keku
January 29th
“Detection of Early Warning Signals regarding Safety Concerns of Implantable Medical Devices” with Aparna Ramanathan
February 5th
“Moral Missions: Surfacing and Developing the Moral Decision-Making Processes of Responsible Data Scientists” with Teanna Barrett
February 12th
“Concept to Compute: Accelerating Science with JAX” with Ryan Hausen
February 26th
“From Excel to Reproducible Pipelines: Scaling the Self-Sufficiency Standard to All 50 States” with Lisa Manzer and Sarah Brolliar
March 5th
“Sparse Tensor Decomposition and Elastic Net Regression for Multi-Species Gene Expression Analysis” with Steven Roberts and Kathleen Durkin
March 12th
“Decorrelating the Future: Joint Frequency Domain Learning for Spatio-temporal Forecasting” with Zepu Wang
Fall 2025 Seminars
September 30th
Data Science & AI Accelerator Projects with Masha Vernik and Mira Berdahl
October 7th
“Modeling Patient Outcomes After Amputation: Comparing Machine Learning and Traditional Approaches” with Rachael Rosen
October 14th
“The Future of Scientific Code in the Era of Generative AI” with Elle O’Brien
October 21st
Data Science & AI Accelerator Projects with Neel Gupta and Shirin Khanam
October 28th
Data Science & AI Accelerator Projects with Amelia Keyser-Gibson and Will von Geldernon
November 4th
“Scientific Knowledge Emerges in LLMs and You Can Extract It” with Yuanqi Du
November 18th
November 25th
December 2nd
Interactive Data Science at Massive Scales using Python and Arkouda with Brad Chamberlain
Archived seminar recordings
This seminar is currently organized and hosted by the eScience Institute and the Engineering Data Science Institute (EDSI). We are grateful for the support of the Gordon and Betty Moore Foundation and the Alfred P. Sloan Foundation.
The eScience Institute, iSchool DataLab, and CSE Interactive Data Lab co-created and hosted this seminar series from 2014 through 2019. In Fall 2020, the eScience Community Seminar merged with the UW Data Science Seminar Series.