I am a Visiting Graduate Student at JHU WSE with ARCADE and a Master's student in Computer Science at TUM. My research focuses on the simulation of medical imaging modalities — X-ray, CT, and Ultrasound — with applications in machine learning and GPU-accelerated high-performance computing.
I received my B.Sc. in Computer Science: Games Engineering at TUM, where my interest in medical technology was sparked by the intersection of simulation and real-world applications.
My previous work includes Ultrasound Simulation for Diffusion Model training and 3D reconstruction collaborating with Luma Vision and the Chair for Computer Aided Medical Procedures (CAMP).
In my free time, I sometimes explore the world of game development.
FieldGPU: A GPU-based Version of Field II with Python Bindings for Large Scale Simulations and Complex Transducer Configurations
We present FieldGPU, a CUDA-accelerated reimplementation of the Field II ultrasound simulation framework, accessible as a Python package. FieldGPU achieves up to 1100 times performance increase compared to Field II for large-scale simulations with 10 million scatterers, significantly reducing simulation times while providing a modern Python interface.
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