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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 second-year Ph.D. student at the University of Copenhagen advised by Rasmus Pagh. I am interested in differential privacy broadly, and problems in the continual observation setting in particular. I am also a member of Providentia, a part of BARC.

Prior to starting my PhD, I received my master’s degree in Engineering Physics from Lund Unversity in 2020. 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. Streaming Private Continual Counting via Binning
    Joel Daniel Andersson, Rasmus Pagh
    Submitted, 2024.
    Teaser: We introduce a framework for approximating a class of matrix factorizations in low space. The class includes the continual counting factorization from HUU'23, for which we get a (1+𝛼)-approximation of its mean, and maximum, squared error in space 𝑂(n¹ᐟ²log(n)³ᐟ²/𝛼).
    Preprint coming soon..

  2. Improved Counting under Continual Observation with Pure Differential Privacy
    Joel Daniel Andersson, Rasmus Pagh, Sahel Torkamani
    Submitted, 2024.
    arXiv

  3. Continual Counting with Gradual Privacy Expiration
    Joel Daniel Andersson, Monika Henzinger, Rasmus Pagh, Teresa Anna Steiner, Jalaj Upadhyay
    Submitted, 2024.
    arXiv

  4. 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

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

  6. 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

  7. SixTrack Version 5: Status and New Developments
    Riccardo De Maria et al.
    International Particle Accelerator Conference (IPAC), 2019.
    PDF Code BibTex

  8. SixTrack Project: Status, Runtime Environment, and New Developments
    Riccardo De Maria et al.
    International Computational Accelerator Physics Conference (ICAP), 2018.
    PDF Code BibTex