My research sits at the intersection of high-energy astrophysics, particle
physics, and computational methods. I focus primarily on understanding the
high-energy universe through neutrinos — weakly interacting particles that
travel cosmological distances unimpeded and carry information about their sources.
jlazar@uclouvain:~/research $ls -la topics/
neutrino_telescopes/
I work with the IceCube
neutrino telescope at the South Pole and contribute to next-generation
detectors including TAMBO.
My focus includes solar neutrino searches, dark matter annihilation signals,
and supernova neutrino transients.
simulation_tools/
I develop open-source software for the neutrino physics community.
Prometheus
is a modular neutrino telescope simulation suite, and
TauRunner
propagates tau and muon neutrinos through the Earth. Both are publicly available
and used by the community.
dark_matter/
I search for dark matter annihilation and scattering signatures in solar
neutrino data from IceCube, placing limits on WIMP-nucleon cross sections.
I also developed χarον,
a public tool for generating neutrino flux spectra from WIMP annihilation in the Sun.
ml_reconstruction/
I apply machine learning — including graph neural networks and sparse
convolutional architectures — to neutrino event reconstruction in IceCube.
I contributed to NuBench,
an open benchmark for deep-learning-based reconstruction in neutrino telescopes.
quantum_computing/
I explore quantum algorithms for high-energy physics data analysis, including
quantum-encoded data representations for neutrino oscillation measurements
(arXiv:2402.19306).