Shiry Ginosar is an Assistant Professor at the Toyota Technological Institute at Chicago (TTIC), where she works at the intersection of computer vision, machine learning, and artificial intelligence. She earned her B.Sc. from Carnegie Mellon University and her Ph.D. in Computer Science from the University of California, Berkeley. Following her Ph.D., she was a Computing Innovation postdoctoral fellow at UC Berkeley's EECS department and the Simons Institute for the Theory of Computing. Shiry then spent several years at Google DeepMind as a Visiting Faculty Researcher.

Shiry's research asks how artificial systems can develop representations that capture the structure of the world well enough to predict, generalize, and act. Across problems in vision, behavior, and interaction, she studies how the choice of representation can transform difficult phenomena into tractable learning problems, and how useful representational structure might ultimately be discovered through prediction and action. While rooted in computer vision and machine learning, her research draws on ideas from psychology, neuroscience, and developmental science.

Shiry's work has received broad recognition beyond academia, with coverage in The New Yorker, The Wall Street Journal, and The Washington Post. It has been featured on PBS NOVA, exhibited at the Israeli Design Museum, and included in the permanent collection of the Deutsches Museum.