Samaneh Azadi
Research Scientist at fairinternal
San Francisco Bay Area United States
Summary
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SeniorSamaneh Azadi is a research scientist at Meta’s GenAI research team with 11 years of experience bridging academic rigor and industry-scale generative modeling. A former Facebook Fellow and Ph.D. candidate at Berkeley AI Research (BAIR), she specializes in computer vision and deep learning with a focus on generative models and their applications. Her background includes research internships at Google and Adobe and a history of collaborative, cross-institutional projects dating back to her visiting researcher role at UC Berkeley. Known for translating theory into practical models, she operates at the intersection of foundational research and deployable systems. Based in the San Francisco Bay Area, she blends a strong publication-driven research profile with hands-on engineering at FAIR. Beyond publications, her trajectory shows a consistent pattern of partnering with industry labs to push generative AI from prototypes toward real-world impact.
11 years of coding experience
Github Skills (23)
generative-adversarial-network9
bottleneck9
scene9
composition8
image-synthesis7
pytorch7
high-resolution7
computer-vision7
deep-learning6
semantic6
image-resolution6
text-to-image6
inpainting5
synthesis5
motion-capture4
Programming languages (2)
Github contributions (5)
azadis/MC-GAN
Nov 2017 - Jan 2019
Contributions:18 commits, 12 pushes, 13 comments in 1 year 1 month
berkeley-deep-learning/cs294-131-s19
Nov 2018 - Apr 2019
Contributions:89 commits, 84 pushes, 1 branch in 4 months
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