Sayna Ebrahimi joined Google Cloud AI Research as a research scientist in November 2021. Her research focuses on tackling real-world large-scale multimodal data distributions while maximizing adaptation and generalization. She also develops label-efficient algorithms which reduce human effort while facilitate transfer of information through unsupervised and semi-supervised models. She received her PhD from UC Berkeley advised by Trevor Darrell. At Berkeley, her research was at the intersection of computer vision and machine learning with specialization in continual learning and domain adaptation.