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.
9 years of coding experience
7 years of employment as a software developer
Amirkabir University of Technology
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Technical University of Munich
Official Source Code for Meta Image Generation from Scene Graphs
Contributions:4 commits, 1 PR, 4 pushes in 21 days
graphsmetaimage-generationscene
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