Professor at Université de Lille. Interested in applied mathematics, statistics and machine learning.

Joined November 2019
👏 Félicitations de l'Administrateur 👏 L'Administrateur de l'IUF, Elyes Jouini, félicite les Lauréates et les Lauréats Juniors et Seniors 2024, distingués pour la qualité exceptionnelle de leur projet ! ➡️ iufrance.fr
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New PhD thesis offer in Statistics and Machine Learning in Toulouse, on the prediction of complex outputs with applications to nuclear safety: math.univ-toulouse.fr/~fbach… Applications are considered starting in March 2023.
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New PhD thesis offer in Statistics and Machine Learning in Toulouse, on block additive Gaussian processes: math.univ-toulouse.fr/~fbach…
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We are still looking for candidates for this offer. The aim is now to start with a master internship in Spring 2023 and then to follow-up with the PhD thesis in fall 2023.
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New position opening for a PhD thesis in Toulouse on Gaussian processes co-supervised by me. The PhD starts next Fall. math.univ-toulouse.fr/~fbach…
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Open access article on the use of Gaussian processes and extrem statistics to provide early warnings for coastal flooding hazards at the municipality of Gavres. This project is interdisciplinary and comes with a real time user interface made available to the municipality of...
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PhD thesis in statistics based in Toulouse in collaboration with Université Grenoble Alpes and IFP Énergies nouvelles. Applications are open this October for a starting date in early 2022. Description and application contact: math.univ-toulouse.fr/~fbach…
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Forthcoming paper on equivalence of mesures for multivariate Gaussian fields. With sufficient conditions on the parameters of the Matérn and Wendland models that extend those from the univariate case. e-publications.org/ims/submi…
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Grateful to #ANR for funding the JCJC project GAP on Gaussian processes for the next 4 years. A PHD opening is planned.
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Paper introducing bisect and approximate algorithms for level set estimation of black box functions. Upper bounds based on packing numbers at decreasing scales and lower bounds over function classes. arxiv.org/abs/2010.13405. To appear in #AISTATS2021.
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New introductory preprint on asymptotics for maximum likelihood with Gaussian processes: arxiv.org/abs/2009.07002
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