Mahsa Ghorbani is a Senior Data Scientist based in Munich with eight years of experience translating academic research in geometric and deep learning into production-ready solutions. She holds a PhD in Computer Science (AI) from Sharif University and progressed from research roles at Sharif and TUM’s CAMP to industry positions at Orbem, where she now leads data science initiatives. Her background blends medical imaging and geometric deep learning with practical deployment of deep models, enabling impactful work at the intersection of health and AI. Known for bridging rigorous research and product engineering, she thrives on taking complex models from prototypes to scalable pipelines. Colleagues describe her as both technically meticulous and outcome-oriented, often uncovering domain-specific signal that others miss.
8 years of coding experience
7 years of employment as a software developer
Visiting Researcher, Geometric Deep Learning in Medical and Health Applications, Visiting Researcher, Geometric Deep Learning in Medical and Health Applications at Technical University of Munich
Doctor of Philosophy - PhD, Computer Science (AI), Doctor of Philosophy - PhD, Computer Science (AI) at Sharif University of Technology
Contributions:5 pushes, 1 branch in 1 year 3 months
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