This profile is built from public research funding records (CIHR, NSERC and SSHRC). We have not imported them from a Université de Montréal directory, so their publications, courses and email address may be missing. Find their university profile.
Research
Latest funding
- $90,000
Weighing the stars: Data-driven stellar population modeling for the next-generation sky surveys
NSERC · 2022 · Co-investigator
- $335,000
Computational Cosmology and Artificial Intelligence
NSERC · 2021 · Principal investigator
- $12,500
A New, Data-Driven Era for Precision Cosmology: Measuring the Expansion Rate of the Universe with Machine Learning.
NSERC · 2020 · Principal investigator
Weighing the stars: Data-driven stellar population modeling for the next-generation sky surveys
Principal investigators: Hezaveh, Yashar Y
Keywords: Cosmology; Dark Matter; Deep Learning; Dust; Galaxy evolution; Galaxy formation; Machine Learning; Optical Surveys; Stellar populations modeling; Strong Gravitational Lensing
Computational Cosmology and Artificial Intelligence
Principal investigators: Perreault Levasseur, Laurence
Keywords: Cosmological parameters; strong gravitational lensing; Hubble constant; dark matter; dark energy; deep learning; cosmological simulations; machine learning emulators; uncertainty quantification; likelihood-free inference
A New, Data-Driven Era for Precision Cosmology: Measuring the Expansion Rate of the Universe with Machine Learning.
Principal investigators: Perreault Levasseur, Laurence
A New, Data-Driven Era for Precision Cosmology: Measuring the Expansion Rate of the Universe with Machine Learning.
Principal investigators: Perreault Levasseur, Laurence
Keywords: cosmology; machine learning; strong gravitational lensing; hubble constant; data analysis; large scale surveys; lsst
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
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