About
After studying physics and mathematics at Utrecht University and ETH Zurich, I went on to pursue a PhD in theoretical physics at Radboud University Nijmegen. More specifically, I specialized in nonperturbative quantum gravity, a field that involves the use of both analytical and computational methods. Subsequently, I spent a short time as a junior researcher in the infectious diseases modeling group at UMC Utrecht's Julius Center.
Continuing my career at the NKI as a postdoctoral fellow, I will develop AI techniques with applications to medical imaging. I am currently working on 3D image segmentation using deep learning methods. Furthermore, I plan to put to use my background in mathematical physics to study more formal aspects of AI research, for instance in the context of geometrical deep learning.
Last 5 publications
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J. Brunekreef, R. Loll, "Nature of spatial universes in 3D Lorentzian quantum gravity", Physical Review D, 2023, 107;(2)
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J. Brunekreef, D. Németh, A. Görlich, "JorenB/3d-cdt: First release", 2022
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J. Brunekreef, L. Lionni, J. Thürigen, "One-matrix differential reformulation of two-matrix models", Reviews in Mathematical Physics, 2022, 34;(08)
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J. Brunekreef, D. Németh, "The phase structure and effective action of 3D CDT at higher spatial genus", Journal of High Energy Physics, 2022, 2022;(9)
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J. Brunekreef, R. Loll, "Curvature profiles for quantum gravity", Physical Review D, 2021, 103;(2)