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Joel Daniel Andersson

Postdoc
IST Austria
joel.andersson@ist.ac.at


About Me

Welcome to my personal webpage!

I am a postdoctoral researcher at IST Austria working with Monika Henzinger. Prior to that, I was a PhD student at University of Copenhagen where I was fortunate to be advised by Rasmus Pagh and affiliated with BARC. I am generally interested in differential privacy, and problems in the continual observation setting in particular.

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. Edit-Neighboring Data Streams and Privacy under Continual Observation
    Joel Daniel Andersson, Anamay Chaturvedi, Monika Henzinger, Roodabeh Safavi
    To appear in CCS 2026.
    arXiv

  2. Beyond Square Roots: Explicit Memory-Efficient Factorization for Multi-Epoch Private Learning
    Nikita P. Kalinin, Aki Rehn, Joel Daniel Andersson, Antti Honkela, Christoph H. Lampert.
    Preprint, 2026.
    arXiv

  3. Improved Accuracy for Private Continual Cardinality Estimation in Fully Dynamic Streams via Matrix Factorization
    Joel Daniel Andersson, Palak Jain, Satchit Sivakumar.
    Symposium on Principles of Database Systems (PODS) 2026.
    arXiv

  4. Learning Rate Scheduling with Matrix Factorization for Private Training
    Nikita P. Kalinin, Joel Daniel Andersson.
    Symposium on Foundations of Responsible Computing (FORC), 2026.
    arXiv 15-Minute Talk

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

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

  7. 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

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

  9. 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

  10. 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. 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

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

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