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Joel Daniel Andersson

Ph.D. Student
University of Copenhagen
jda@di.ku.dk


About Me

Welcome to my personal webpage!

I am a third-year Ph.D. student at the University of Copenhagen, and happy to be advised by Rasmus Pagh. I am interested in algorithmic differential privacy broadly, and problems in the continual observation setting in particular. I am also a member of Providentia and affiliated with BARC. From January through April 2025, I had the privilege of visiting Adam Smith at Boston University.

Prior to starting my PhD, I received my master’s degree in Engineering Physics from Lund Unversity in 2020. Parts of my master were spent modeling beam dynamics at CERN. After graduating I had a stint as a Software Engineer at Ericsson, implementing 5G protocols in Downlink L1.

In my spare time I enjoy running, live music, and craft beer.

Publications

  1. On the Space Complexity of Online Convolution
    Joel Daniel Andersson, Amir Yehudayoff.
    Preprint, 2025.
    arXiv

  2. Private Lossless Multiple Release
    Joel Daniel Andersson, Lukas Retschmeier, Boel Nelson, Rasmus Pagh.
    International Conference on Machine Learning (ICML), 2025.
    arXiv

  3. Count on Your Elders: Laplace vs Gaussian Noise
    Joel Daniel Andersson, Rasmus Pagh, Teresa Anna Steiner, Sahel Torkamani.
    Symposium on Foundations of Responsible Computing (FORC), 2025.
    arXiv

  4. Streaming Private Continual Counting via Binning
    Joel Daniel Andersson, Rasmus Pagh.
    IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 2025.
    arXiv Code

  5. Continual Counting with Gradual Privacy Expiration
    Joel Daniel Andersson, Monika Henzinger, Rasmus Pagh, Teresa Anna Steiner, Jalaj Upadhyay.
    Conference on Neural Information Processing Systems (NeurIPS), 2024.
    arXiv BibTex

  6. A Smooth Binary Mechanism for Efficient Private Continual Observation
    Joel Daniel Andersson, Rasmus Pagh.
    Conference on Neural Information Processing Systems (NeurIPS), 2023.
    arXiv Code BibTex

High Energy Physics Publications

  1. A Linear Framework for Orbit Correction in the High-Luminosity Large Hadron Collider
    Joel Daniel Andersson.
    Lund University (Master's thesis), 2020.
    PDF BibTex

  2. Orbit Correction Studies on the HL-LHC Layout and Optics V1.5
    Joel Daniel Andersson, Riccardo De Maria, Davide Gamba.
    CERN (Technical report), 2020.
    PDF BibTex

  3. SixTrack V and runtime environment
    Riccardo De Maria et al.
    International Journal of Modern Physics A 34 (36), 2019.
    Code BibTex

  4. SixTrack Version 5: Status and New Developments
    Riccardo De Maria et al.
    Journal of Physics: Conference Series 1350 (1), 2019.
    PDF Code BibTex