
Dr. Russakovsky joined the Princeton faculty in the fall of 2017 after serving as a postdoctoral fellow at Carnegie Mellon University in Pittsburgh. She leads the Princeton Visual AI Lab, which seeks to improve artificial intelligence systems’ ability to understand the visual world, both through improved image and video analysis and better object recognition and visual understanding. To that end, her team applies machine learning techniques to large data sets to allow systems to understand the context of a scene as well as identify the objects in the scene. She has also established a summer program that high school students from underrepresented groups to learn the basics of the field through intensive training, group projects, and guest lectures.
Dr. Russakovsky holds bachelor’s and doctoral degrees from Stanford University.


