Devin Guillory is a computer scientist who works primarily in the field of Artificial Intelligence. His Ph.D work, completed at UC Berkeley under the supervision of Trevor Darrell, focused on understanding and adapting vision models to better account for data shifts. Prior to Berkeley he received B.S. and M.S. degrees in Electrical Engineering at Stanford University.

Research Interest

His work has spanned Computer Vision, Natural Language Processing, Machine Learning, Robotics, Information Retrieval, and Computational Advertising with a focus on learning with less labels and improving robustness to various forms of data shifts. Scholar His current research interests are on building collaborative and community-driven AI systems.

Other Interest

Research doesn’t exist in a vacuum and neither do researchers. I am broadly interested in Sports, Music, Dance, Food, and most importantly Liberation.

Press

Check out this AI4ALL interview for a more nuanced look at my background.

Combatting Anti-Blackness in the AI Community Talk

Place and Displacement: Bias in Our Algorithms and Society

Talking Machines Podcast: Learning with Less, Invisible Labor, and Combatting Anti-Blackness