CV
Peer Rheinboldt
Education
ETH Zürich / MSc Data Science
Sep 2025 - present, Zürich
ETH Zürich / BSc Computer Science
Sep 2022 - Sep 2025, Zürich
Average grade: 5.31
Bilinguales Gymnasium Phorms Berlin Süd / Abitur
2015 - 2022, Berlin
McCallie High School / Exchange year with ASSIST Scholarship
2019 - 2020, Chattanooga, TN, USA
Mathematische Schülergesellschaft “Leonhard Euler”
2016 - 2019, Berlin
Experience
Ringier / DevOps Engineering Working Student
Dec 2024 - present
At Ringier, I focus on integrating AI into internal workflows, including customer-service tooling and private AI chatbots for internal use.
ETH Zürich / Teaching Assistant
Sep 2024 - Dec 2024
Teaching assistant for two groups in the course Analysis II.
MoveFast GmbH / Data Science Internship
Feb 2019, Berlin
Developed a machine learning algorithm for NLP classification using Python. Created a front end and back end for managing data and comparing experiments using Flask and HTML/Bootstrap.
Publications
Rheinboldt, P., Berdoz, F., & Wattenhofer, R. (2026). TreeFlash: Parallel AR-Approximation for Faster Speculative Decoding. Findings of the Association for Computational Linguistics: EMNLP 2026.
Berdoz, F., Rheinboldt, P., & Wattenhofer, R. (2025). Steering Pretrained Drafters during Speculative Decoding. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI-26).