Kate Saenko
Research Scientist at Meta
Greater Boston United States
Summary
👤
Senior🎓
Top SchoolKate Saenko is a research scientist and Professor of Computer Science with a decade-plus track record advancing computer vision and adaptive machine learning at top institutions and industry labs. Currently on leave from Boston University while contributing to Meta’s AI research efforts, she founded BU’s Artificial Intelligence Research initiative and leads its Computer Vision and Learning Group. Her work bridges rigorous academic inquiry and applied AI, focusing on dataset bias, image-and-language understanding, and deep learning, informed by postdoctoral experience at UC Berkeley and Harvard and a PhD from MIT. She has moved seamlessly between academia and industry—from assistant professorships to roles at FAIR/Meta and ICSI—bringing both mentorship and production-aware research to bear. Known for combining principled modeling with attention to dataset and domain shifts, she often tackles the practical gaps that limit real-world ML generalization. Based in Greater Boston, she pairs deep theoretical roots with hands-on impact across research labs and collaborative initiatives.
9 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (PhD) EECS, Doctor of Philosophy (PhD) EECS at Massachusetts Institute of TechnologyBachelor of Science (B.S.) Computer Science, Bachelor of Science (B.S.) Computer Science at The University of British Columbia
Russian, German, Japanese
Github Skills (2)
open-science1
data-management1
Programming languages (3)
Github contributions (5)
VisionLearningGroup/VisionLearningGroup.github.io
May 2017 - Oct 2022
Contributions:57 commits, 61 pushes in 5 years 5 months
VisionLearningGroup/visda-2018
Jun 2017 - Aug 2018
Contributions:13 commits, 1 push in 1 year 1 month
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