Peter Schüffler is an assistant professor and computational pathology pioneer with 11 years of experience applying data science and machine learning to medical imaging, epigenetics, and computational biology. He co-founded and serves as Senior AI Scientist at Paige while also leading research and teaching at TUM, blending academic rigor with startup-scale product thinking. At MSKCC he built a computational pathology group and productionized workflows for whole-slide image analysis, automated staining estimation, and high-throughput cancer phenotyping. His skill set spans algorithm development, software engineering (including front-end contributions to widely used open-source viewers like OpenSeadragon), and project leadership across interdisciplinary teams. Based in Munich, he pairs a PhD from ETH Zurich with hands-on experience turning complex biomedical data into reproducible, clinically relevant tools.
11 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (PhD), Mathematik und Computerwissenschaft, Doctor of Philosophy (PhD), Mathematik und Computerwissenschaft at Eidgenössische Technische Hochschule Zürich
Master of Science (M.Sc.), Bioinformatik, Master of Science (M.Sc.), Bioinformatik at Universität des Saarlandes
An open-source, web-based viewer for zoomable images, implemented in pure JavaScript.
Role in this project:
Front-end Developer
Contributions:25 commits, 6 PRs, 67 comments in 1 year 6 months
Contributions summary:Peter primarily contributed to the OpenSeadragon project by modifying JavaScript files related to the image viewer's functionality. They updated strings.js, test files, and viewer.js, indicating work on the core viewer logic and testing. They also introduced changes related to debugging and image rendering, suggesting involvement in improving the user experience and visual aspects of the image viewer.
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