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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 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.

News

Publications

  1. A Smooth Binary Mechanism for Efficient Private Continual Observation
    Joel Daniel Andersson, Rasmus Pagh
    Conference on Neural Information Processing Systems (NeurIPS), 2023.
    PDF Code To appear at NeurIPS'23

  2. A Linear Framework for Orbit Correction in the High-Luminosity Large Hadron Collider
    Joel Daniel Andersson
    Lund University, 2020.
    PDF BibTex

  3. Orbit Correction Studies on the HL–LHC Layout and Optics V1.5
    Joel Daniel Andersson, Riccardo De Maria, Davide Gamba
    CERN, 2020.
    PDF BibTex

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

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