Dominik Müller is an Assistant Professor and medical informatics researcher with eight years of experience specializing in AI-driven medical image analysis, automated machine learning, and reproducible biomedical data science. At the University of Augsburg he leads work on standardized development, deployment, and clinical integration of AI pipelines while coordinating the Medical Information Science study program and supervising numerous student theses. His research uniquely bridges imaging-based clinical studies and practical hospital deployment—he is a delegated researcher at the University Hospital Augsburg and has collaborated on prognosis models for TAVI using pre-op CTs. Holding a summa cum laude Dr. rer. nat. in Medical Informatics and dual MS/BS training in Bioinformatics, he combines deep technical rigor with hands-on clinical translation. Currently pursuing a Bavarian university teaching certificate, he is as committed to pedagogy and curriculum development as to building reliable, responsible AI for healthcare.
8 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Bioinformatics, Master of Science - MS, Bioinformatics at Technical University of Munich
Master of Science - MS, Bioinformatics, Master of Science - MS, Bioinformatics at Ludwig-Maximilians-Universität München
Doctor of Science (Dr. rer. nat.), Medical Informatics, summa cum laude, Doctor of Science (Dr. rer. nat.), Medical Informatics, summa cum laude at University of Augsburg
Contributions:1 review, 103 commits, 7 PRs in 7 months
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