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Welcome!
I am deeply committed to the field of Artificial Intelligence because I believe it represents a transformative wave in human progress. My goal is to be at the forefront of this movement, using my expertise and passion to push the boundaries of AI, making it more powerful and accessible. Through my work, I aim to contribute to the advancement of AI technologies, promoting their integration into society in ways that improve lives and drive humanity forward.
Interests
- Machine Learning
- Computer Vision
- Large Language Models
- Artificial Intelligence
- Scientific Visualization
Education
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PhD in Computer Science, 2025
University of Groningen
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MSc in Computer Science, 2020
University of Stuttgart
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BSc in Computer Engineering, 2017
Natonal Aviation Academy
🔬 My Research
I research deep learning techniques for 3D flow estimation and reconstruction in scientific ensemble datasets. My work spans hypernetworks, stable diffusion, 3DGS, (un-)supervised optical and physical flow estimation, medical image registration and classification, and learning-based volume rendering prediction. I also explored autoencoder-based feature extraction for dimensionality reduction and clustering.
📚 Featured Publications
(2024).
HyperFLINT: Hypernetwork-based Flow Estimation and Temporal Interpolation for Scientific Ensemble Visualization.
In EuroVis 2025.