Summary
Elisabeth Schiele is a computer science and computational linguistics student at TUM and LMU with eight years of hands-on experience across research, teaching, and coding retreats. She currently conducts research on semantic segmentation for medical videos at TUM Klinikum Rechts der Isar, building on prior work in 3D human motion forecasting published at BMVC during an Erasmus-funded internship in Rome. Elisabeth has taught introductory programming and first-year discrete math, blending pedagogical clarity with applied research skills. Her background includes immersive practice at the Recurse Center and international volunteer teaching, indicating strong self-directed learning and cross-cultural communication. Comfortable at the intersection of vision, language, and education, she brings a practical research mindset and a knack for turning complex academic problems into reproducible code. Colleagues describe her as a curious, methodical collaborator who seeks projects that combine real-world impact with rigorous evaluation.
8 years of coding experience
Bachelor's degree, Computational Linguistics, Bachelor's degree, Computational Linguistics at Ludwig-Maximilians-Universität München
Early Studies Program, Early Studies Program at Universität des Saarlandes
Master of Science - MS, Informatics, Master of Science - MS, Informatics at Technical University of Munich
Erasmus Research Internship, Computer Science, Erasmus Research Internship, Computer Science at Sapienza Università di Roma
Allgemeine Hochschulreife (Abitur), Allgemeine Hochschulreife (Abitur) at Gymnasium am Rotenbühl
TUM.ai
English, French, Spanish, German, Russian, Italian, Chinese