Azade Farshad

Principal Investigator

Bavaria, Germany
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Summary

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Senior
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Azade Farshad is an Assistant Professor and former Postdoctoral Researcher at the Technical University of Munich with nine years of experience in generative models, semantic scene understanding, and medical imaging. She leads GenAI and MedIA research groups, developing multimodal foundation models that bridge general computer vision and clinical applications. Her work spans academia and research centers, including visiting roles at Stanford and ongoing affiliations with the Munich Center for Machine Learning and Aalto University. Azade combines deep theoretical expertise from a PhD in Artificial Intelligence with practical software and tooling experience dating back to early industry roles at OSRAM and Infineon. She is known for translating scene graphs and generative techniques into medically relevant pipelines—an uncommon cross-domain focus that accelerates translational AI. Reach out for collaboration or questions about her publications and applied ML prototypes.
code9 years of coding experience
job8 years of employment as a software developer
bookAmirkabir University of Technology
bookDoctor of Philosophy - PhD Artificial Intelligence, Doctor of Philosophy - PhD Artificial Intelligence at Technical University of Munich
languagesPersian, English, German
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Stackoverflow

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Github Skills (48)

python10
machine-learning10
voc10
deep-learning10
mobilenet10
tensorflow10
coco10
image9
image-processing9
ml9
opencv9
deep-neural-networks9
neural-network9
tensorboard9
resnet9

Programming languages (4)

C++JavaScriptJupyter NotebookPython

Github contributions (5)

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azadef/DispoNet

Oct 2022 - Feb 2024

Contributions:3 pushes, 1 branch in 1 year 4 months
migs2021/migs

Apr 2022 - May 2022

MIGS: Meta Image Generation from Scene Graphs (BMVC 2021)
Contributions:4 commits, 1 PR, 4 pushes in 21 days
image-generationscene-graphdeep-learningmeta-learning
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