https://sites.uclouvain.be/gravitai/teams/ Recent content in Teams on GRAVIT-AI Hugo -- gohugo.io en-us Mon, 01 Jan 2024 00:00:00 +0000 https://sites.uclouvain.be/gravitai/teams/estelle-massart/ Mon, 01 Jan 2024 00:00:00 +0000 https://sites.uclouvain.be/gravitai/teams/estelle-massart/ Prof. Estelle Massart is a principal investigator in GRAVIT-AI, contributing expertise in applied mathematics, noise modeling, and data-driven signal analysis. Research Focus Applied mathematics and optimization Noise modeling and characterization Data-driven signal analysis Mathematical foundations of machine learning Role in GRAVIT-AI Prof. Massart leads research on noise characterization and contributes to the mathematical foundations of the machine learning approaches used in the project. https://sites.uclouvain.be/gravitai/teams/giacomo-bruno/ Mon, 01 Jan 2024 00:00:00 +0000 https://sites.uclouvain.be/gravitai/teams/giacomo-bruno/ Prof. Giacomo Bruno is a principal investigator in GRAVIT-AI, bringing expertise in gravitational-wave physics and statistical inference from UCLouvain’s IRMP institute. Research Focus Gravitational-wave physics Statistical inference methods Data analysis for gravitational-wave detectors Multi-messenger astronomy Role in GRAVIT-AI Prof. Bruno leads the physics aspects of the project and ensures the scientific validity of machine learning approaches applied to gravitational-wave data. https://sites.uclouvain.be/gravitai/teams/justin-janquart/ Mon, 01 Jan 2024 00:00:00 +0000 https://sites.uclouvain.be/gravitai/teams/justin-janquart/ Prof. Justin Janquart is a principal investigator in GRAVIT-AI, specializing in compact binary coalescences and machine learning applications for gravitational-wave inference. Research Focus Compact binary coalescences Machine learning for gravitational-wave inference Parameter estimation techniques Bayesian analysis methods Role in GRAVIT-AI Prof. Janquart leads research on ML-enhanced parameter estimation and contributes to the development of advanced inference techniques for gravitational-wave signals. https://sites.uclouvain.be/gravitai/teams/laurent-jacques/ Mon, 01 Jan 2024 00:00:00 +0000 https://sites.uclouvain.be/gravitai/teams/laurent-jacques/ Prof. Laurent Jacques is the spokesperson and principal investigator of GRAVIT-AI. He leads the signal processing and machine learning research efforts at UCLouvain’s ICTEAM institute. Research Focus Signal processing and inverse problems Machine learning applications in physics Compressed sensing and sparse representations Mathematical optimization Role in GRAVIT-AI As the project spokesperson, Prof. Jacques coordinates the overall research activities and leads Work Package 1 on novel strain signal representations.