I joined the Visual Computing Research Group at the University of Ulm in April 2020. I completed my Bachelor’s degree in 2019 and my M.Sc. in 2022, focusing on the reconstruction of biomedical data. Since then, I have completed my PhD, which I defended in July 2026. My doctoral research focused on “Deep Biological Electron Microscopy Analysis: Learning on Few and Noisy Images”, exploring machine learning approaches for analyzing biological electron microscopy data in challenging settings. I enjoy exploring new ideas, tackling challenging research questions, and learning from interdisciplinary perspectives. I am always curious about new approaches and opportunities to exchange ideas with others.
Research interests
- Deep Learning Techniques for Computer Graphics
- Differentiable Rendering
- Deep Learning Techniques for Biomedical Image Processing
- Synthetic Image Generation
Theses
I’m currently mainly working on Deep Learning techniques for Biomedical Image Processing.
I am interested in everything around this topic.
If you are interested in writing a thesis that fits in this topic, feel free to send me an email or come by my office.
