Sebastian Heid - Zuse School ELIZA

Master’s Student

I am a master’s student in Physics at Heidelberg University, specializing in the intersection of physics and artificial intelligence. My research journey began at the German Cancer Research Center, where I worked on the extraction of interventional tools from very low dose X-ray projections using deep neural networks and leveraging temporal information during my Bachelor’s thesis, demonstrating AI’s potential in healthcare. A subsequent internship at Bosch introduced me to computer vision, which is the focus of my current master’s thesis. My work is centered on diffusion models and distillation methods, aiming to improve generative models’ efficiency while maintaining image quality. I thrive on transforming theoretical concepts into practical AI solutions, whether optimizing neural networks or developing new computer vision pipelines. I enjoy collaborating and sharing my AI passion. ELIZA offers me a unique opportunity connect with like-minded individuals, participate in exciting workshops, and obtain new insights.

I am a master’s student in Physics at Heidelberg University, specializing in the intersection of physics and artificial intelligence. My research journey began at the German Cancer Research Center, where I worked on the extraction of interventional tools from very low dose X-ray projections using deep neural networks and leveraging temporal information during my Bachelor’s thesis, demonstrating AI’s potential in healthcare.

A subsequent internship at Bosch introduced me to computer vision, which is the focus of my current master’s thesis. My work is centered on diffusion models and distillation methods, aiming to improve generative models’ efficiency while maintaining image quality. I thrive on transforming theoretical concepts into practical AI solutions, whether optimizing neural networks or developing new computer vision pipelines.

I enjoy collaborating and sharing my AI passion. ELIZA offers me a unique opportunity connect with like-minded individuals, participate in exciting workshops, and obtain new insights.