Cedric Renggli

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I am a Senior Researcher at Apple. My work and research interests lie at the intersection of data management and AI/ML systems, with a focus on enabling efficient, reliable, and responsible data access and management across the development, evaluation, and operational lifecycle of AI/ML-based solutions.

I am also an external lecturer at ETH co-teaching a seminar on Systems for AI with Ana Klimovic.

Previously, I was a PostDoc in the Data Systems and Theory group lead by Dan Olteanu at UZH and defended my thesis at ETH Zurich’s System Group under the supervision of Ce Zhang. I hold a bachelor’s degree from the Bern University of Applied Sciences and received my MSc in Computer Science from ETH Zurich. During my PhD, I have worked as a research intern and student research consultant at Google Brain (now Google DeepMind).

Selected Publications

  1. Fundamental Challenges in Evaluating Text2SQL Solutions and Detecting Their Limitations
    Cedric Renggli, Ihab F Ilyas, and Theodoros Rekatsinas
    arXiv preprint arXiv:2501.18197, 2025
    arXiv
  2. Automatic feasibility study via data quality analysis for ml: A case-study on label noise
    Cedric Renggli, Luka Rimanic, Luka Kolar, and 2 more authors
    2023 IEEE 39th International Conference on Data Engineering (ICDE), 2023
    arXiv PDF
  3. A Data Quality-Driven View of MLOps
    Cedric Renggli, Luka Rimanic, Nezihe Merve Gürel, and 3 more authors
    IEEE Data Engineering Bulletin, 2021
    arXiv PDF
  4. Evaluating Bayes Error Estimators on Read-World Datasets with FeeBee
    Cedric Renggli, Luka Rimanic, Nora Hollenstein, and 1 more author
    In Advances in Neural Information Processing Systems (Datasets and Benchmarks), 2021
    arXiv PDF
  5. Continuous Integration of Machine Learning Models with ease.ML/CI: Towards a Rigorous Yet Practical Treatment
    Cedric Renggli, Bojan Karlas, Bolin Ding, and 4 more authors
    In SysML Conference, 2019
    arXiv PDF