Sebastian Heid

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 my Bachelor’s thesis applying deep neural networks to extract interventional tools from very low dose X-ray projections, leveraging temporal information to demonstrate the potential of AI in healthcare.

A subsequent internship at Bosch introduced me to computer vision, which is now the focus of my Master’s thesis. My current research centers on diffusion models and distillation methods, aiming to improve the efficiency of generative models while preserving image quality. I am particularly motivated by translating theoretical insights into practical AI solutions—whether by optimizing neural networks or building new computer vision pipelines.

I value interdisciplinary collaboration and sharing ideas. ELIZA provides a unique opportunity to connect with like-minded peers, take part in engaging workshops, and gain fresh perspectives on cutting-edge AI research.