Please check out my (new) Twitter account for the most recent announcements @davidinouye.

I am an assistant professor in the Elmore Family School of Electrical and Computer Engineering at Purdue University. I lead the Probabilistic and Understandable Machine Learning Lab focused on developing trustworthy ML. Research topics include distribution matching/alignment, which is a fundamental tool for trustworthy ML, robust distributed learning via localized learning, and explainable AI including explaining distribution shifts or causality-inspired methods. My work has been funded by NSF, ARL and ONR. Previously, I was a postdoc at Carnegie Mellon University working with Prof. Pradeep Ravikumar. I completed my Computer Science PhD at The University of Texas at Austin in 2017 advised by Prof. Inderjit Dhillon and Prof. Pradeep Ravikumar. I was awarded the NSF Graduate Research Fellowship (NSF GRFP).