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Published in Phys.Sci.Forum, 2023
In this work I helped develop an initial framework to construct lightweight Convolutional Neural Networks to be loaded onto FPGA boards in the search for BSM signatures in COMET Phase-I data.
Published in JCAP, 2024
This paper is about a Bayesian analysis package to analyse gamma ray event data to perform inference on dark matter model parameters.
Published in arXiv (pre-print), 2024
This paper is on how to perform indirect dark matter searches without presuming specifics on the dark matter decay or annihilation final states.
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Workshop, , 2026
A deep walkthrough of gmm_2d_k100.py, building up the full probabilistic model and VTI framework from scratch, with a mathematical explanation for every class and method. Equations are cross-referenced to Davies et al. (2025)1.
Davies, L., Mackinlay, D., Oliveira, R., & Sisson, S. A. (2025). Amortized Variational Transdimensional Inference. arXiv:2506.04749. ↩