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Hello there! 👋 I'm Simon

I am a Ph.D. student in Vienna, passionately exploring the intersection of AI and medicine in the Taschner-Mandl Group at St. Anna Children's Cancer Research Institute. My work involves unraveling the intricacies of cell types and tumor imaging, where each day brings new discoveries. I'm deeply committed to leveraging AI's transformative potential in healthcare, aiming to revolutionize medical diagnostics and treatments. My academic journey, with a Master's from the University of Tübingen and a Bachelor’s from the University of Applied Sciences Saar, has been an exhilarating mix of developing algorithms, delving into deep learning, and more! My research currently focuses on the uncertainties in deep learning, especially vital for reliable and trustworthy AI in healthcare. Day-to-day, I blend Python, PyTorch, Docker, and Creative Cloud to create innovative tech solutions at the nexus of science and creativity. If you're intrigued by AI, medical imaging, or the latest in tech, let's connect! Drop by my social media for a chat over a virtual coffee, sharing ideas. Can't wait to explore the endless possibilities of AI and medicine with you! 🤝🚀🧬

Simon Gutwein's Projects

cellpose icon cellpose

a generalist algorithm for cellular segmentation with human-in-the-loop capabilities

fightsimulator icon fightsimulator

Introducing a user-friendly Pen & Paper Fight Simulator tailored for the How To Be A Hero Ruleset. Our simulator streamlines the Enemy and Weapon Stat design process, making it hassle-free for Gamemasters to create and customize their game content.

fishpainter icon fishpainter

Repository to create Fluorescence in Situ Hybridization with RGB color scheme

supcontrast icon supcontrast

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

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