Sayna Ebrahimi

Senior Research Scientist at Google DeepMind

San Francisco, California, United States
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Summary

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Senior
🎓
Top School
Sayna Ebrahimi is a Senior Research Scientist at Google DeepMind with 11 years of experience bridging academic rigor and industry-scale ML research. She holds a PhD from UC Berkeley and has focused on continual learning, active learning, and computer vision, alongside earlier work on neural solvers for ODEs and parallel algorithms. Her career includes research roles at Google, Berkeley AI Research, and internships at Facebook AI and NVIDIA, reflecting a track record of applied research that informs production-forward systems. Known for translating deep theoretical insights into practical learning systems, she maintains an academic-styled portfolio website showcasing her publications and projects.
code10 years of coding experience
job11 years of employment as a software developer
bookDoctor of Philosophy (Ph.D.) Computer Science / Mechanical Engineering, Doctor of Philosophy (Ph.D.) Computer Science / Mechanical Engineering at University of California, Berkeley
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Github Skills (43)

computer-vision10
datasets9
machine-learning9
torchvision9
generalization9
icu9
variational-autoencoder8
pytorch8
incremental-learning7
few-shot-learning7
deep-learning7
nlp7
foundation-models6
uncertainty6
active-learning6

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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Implementation for the paper "Adversarial Continual Learning" in PyTorch.
Contributions:5 commits, 4 pushes, 15 comments in 8 months
pytorchgeneralizationdeep-learningadversarialcontinual-learning
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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