Guillaume Payeur
Hi! Welcome to my website!
I'm a PhD student in physics at the Université de Montréal, under the supervision of Laurence Perreault-Levasseur. I'm also affiliated with Mila, Ciela and the Trottier Space Institute.
Previously, I've received my Master's degree from McGill University, where I worked under the supervision of Robert Brandenberger and Evan McDonough.
Recently, I've been developing machine learning algorithms aimed at inference problems in cosmology and astrophysics. Before that, I've worked on problems at the intersection of cosmology and high-energy theoretical physics.
Find all of my publications Here.
Publications
Do Observations Prefer Thawing Quintessence?
Investigating if data supports dark energy as a particle over a cosmological constant.
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Swampland Conjectures Constraints on Dark Energy from a Highly Curved Field Space
Theoretical constraints on dark energy models in quantum gravity.
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Completely Dark Matter from Rapid-Turn Multifield Inflation
Study of a dark matter candidate particle and its production in the early universe.
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Correlated Read Noise Reduction in Infrared Arrays Using Deep Learning
Instrumental noise reduction in telescope detectors with machine learning.
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