The Engineering Data Science Institute (EDSI) brings together engineers and data scientists to create tools to accelerate the engineering life cycle throughout all stages: discovering new molecules and materials, characterization with high throughput methods, efficient manufacturing, and operation of systems that use these new materials. EDSI strives to build an environment where engineers and scientists in all stages of their academic careers can collaborate.

Learn more about the faculty, post-docs and students of EDSI

Data-Driven Science and Engineering

Online lecture series from Steve Brunton, EDSI faculty member and Associate Professor of Mechanical Engineering at the University of Washington.

From Fourier to Koopman: Spectral Methods for Long-Term Time Series Prediction

Online lecture series from Nathan Kutz, EDSI faculty member and Professor of Applied Mathematics at the University of Washington.

Explore more videos from the EDSI team

This project is part of the National Science Foundation’s Harnessing the Data Revolution (HDR) Big Idea activity and is co-funded by the Office of Advanced Cyberinfrastructure.