Kate Saenko

Kate Saenko is a Professor of Computer Science (CAS) at Boston University, and AI Research Scientist at FAIR Labs, Meta. At the Hariri Institute, Saenko is a member of the Steering Committee, and the Founder and Co-Director of BU’s Artificial Intelligence Research (AIR) Initiative. She also co-leads the Institute’s “Teaching Machines Human-Like Intelligence” Focused Research Program. She is also Director of BU’s Computer Vision Learning Group and a member of the IVC Group.

Saenko specializes in machine learning, concentrating on the development of new systems to enhance vision and language understanding. Her research interests are in the broad area of Artificial Intelligence with a focus on dataset bias, adaptive machine learning, learning for image and language understanding, and deep learning. The recipient of several active federal grants supporting her research into artificial intelligence, she has published extensively in leading computer science journals. She is the recipient of numerous awards including an AI 2000 Most Influential Scholar Honorable Mention in Computer Vision, and in 2017, she received the Most Innovative Solution award, alongside her students, in the IEEE Large-Scale Activity Recognition Challenge. She received a PhD from MIT and did her postdoctoral training at UC Berkeley and Harvard University.

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