Sayna Ebrahimi
Senior Research Scientist at Google DeepMind
San Francisco, California, United States
Summary
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Senior🎓
Top SchoolSayna Ebrahimi is a senior research scientist at Google DeepMind, based in San Francisco, with a decade of experience advancing AI research at top institutions. She earned a PhD from UC Berkeley in Computer Science with cross-disciplinary work in Mechanical Engineering, and an MS in CS from Berkeley with a perfect GPA. Her career spans postdoctoral work at Berkeley AI Research, research roles at Google, and impactful internships at Facebook AI Research and NVIDIA, reflecting a strong track record in continual learning, active learning, and computer vision. At Google DeepMind, she leads cutting-edge research, building systems that blend theoretical insight with scalable experimentation. Her background combines rigorous academia with high-visibility industry impact, bridging theory and production-grade AI. She is based in the Bay Area, where she continues to push the frontiers of AI research.
10 years of coding experience
11 years of employment as a software developer
Master of Science - MS, Computer Science, 4.0/4.0, Master of Science - MS, Computer Science, 4.0/4.0 at University of California, Berkeley
Github Skills (46)
computer-vision10
datasets9
machine-learning9
torchvision9
generalization9
icu9
variational-autoencoder8
pytorch8
autoencoders7
incremental-learning7
few-shot-learning7
deep-learning7
nlp7
foundation-models6
uncertainty6
Programming languages (2)
Github contributions (5)
facebookresearch/Adversarial-Continual-Learning
Mar 2020 - Dec 2020
Implementation for the paper "Adversarial Continual Learning" in PyTorch.
Contributions:5 commits, 4 pushes, 15 comments in 8 months
pytorchgeneralizationdeep-learningadversarialcontinual-learning
SaynaEbrahimi/Remembering-for-the-Right-Reasons
Oct 2020 - May 2021
Official Implementation of Remembering for the Right Reasons (ICLR 2021)
Contributions:3 commits, 2 pushes in 7 months
deep-learningpytorchiclrcomputer-vision
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