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
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Joel Daniel Andersson, Rasmus Pagh, Teresa Anna Steiner, Sahel Torkamani
Symposium on Foundations of Responsible Computing (FORC), 2025
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Joel Daniel Andersson, Rasmus Pagh
IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 2025.
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Joel Daniel Andersson, Monika Henzinger, Rasmus Pagh, Teresa Anna Steiner, Jalaj Upadhyay
Conference on Neural Information Processing Systems (NeurIPS), 2024.
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Joel Daniel Andersson, Rasmus Pagh
Conference on Neural Information Processing Systems (NeurIPS), 2023.
High Energy Physics Publications
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Joel Daniel Andersson
Lund University (Master's thesis), 2020.
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Joel Daniel Andersson, Riccardo De Maria, Davide Gamba
CERN (Technical report), 2020.
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Riccardo De Maria et al.
International Journal of Modern Physics A 34 (36), 2019.
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Riccardo De Maria et al.
Journal of Physics: Conference Series 1350 (1), 2019.