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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, a part of BARC. From January through April 2025, I have 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. Joel Daniel Andersson, Rasmus Pagh, Teresa Anna Steiner, Sahel Torkamani
    Symposium on Foundations of Responsible Computing (FORC), 2025

  2. Joel Daniel Andersson, Rasmus Pagh
    IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 2025.

  3. Joel Daniel Andersson, Monika Henzinger, Rasmus Pagh, Teresa Anna Steiner, Jalaj Upadhyay
    Conference on Neural Information Processing Systems (NeurIPS), 2024.

  4. Joel Daniel Andersson, Rasmus Pagh
    Conference on Neural Information Processing Systems (NeurIPS), 2023.

High Energy Physics Publications

  1. Joel Daniel Andersson
    Lund University (Master's thesis), 2020.

  2. Joel Daniel Andersson, Riccardo De Maria, Davide Gamba
    CERN (Technical report), 2020.

  3. Riccardo De Maria et al.
    International Journal of Modern Physics A 34 (36), 2019.

  4. Riccardo De Maria et al.
    Journal of Physics: Conference Series 1350 (1), 2019.