• Machine learning applications in light sheet microscopy (See more about what we do here) and general medical applications
• Weakly- and unsupervised learning
• Generative adversarial networks (domain adaptation and synthetic data generation)
• Active learning
• Semantic and instance segmentation

Feel free to contact me in case you find our type of data interesting. Currently working on 3D structure segmentation and data augmentation/generation with conditional GANS, but I am always open to new interesting project ideas.

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• 2020: Master of Science in Biomedical Computing. Technical University of Munich, Germany
• Thesis: Deep Learning for 3D MR Fingerprinting: A Multi-pathway Parameter Mapping and Reconstruction Approach
• 2015: Bachelor in Electrical Engineering. Politehnica University of Timisoara, Romania
• Thesis: Magneto-thermal Stability Characterication of High Jc superconducting strands used for accelerator magnets