cv
Curriculum Vitae.
General Information
Full Name | Hamza Cherkaoui |
Date of Birth | 18th May 1991 |
Languages | French, English |
Experience
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2025 - Now Post doctoral position
Télécom SudParis, Palaiseau, France - Collaborators Prof. Hélène Halconruy and Prof. Yohan Petetin
- I focus my research on the collaboration in dynamic problem.
- Fields of interest bandits, Bayesian optimization, Markov chains, Diffusion models, LLMs
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2022 - 2025 Post doctoral position
Huawei Technologies, Paris, France - Collaborators Dr. Igor Colin and Dr. Merwan Barlier.
- I focus my research on the multi-agents linear bandits problems.
- Fields of interest multi-/single agent(s) linear bandits, Bayesian optimization, optimization, LLMs.
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2021 Post doctoral position
BioMaps research team, CEA-Saclay, Orsay, France - I continue my research on the estimation of the Haemodynamic Response Function (HRF) from fMRI data in a pharmacological context.
Education
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2017–2021 PhD
University Paris Saclaye, Palaiseau, France - Research subject ‘Efficient whole brain estimation of the haemodynamic response function for TV-regularized semi-blind deconvolution of neural activity in fMRI’
- Supervisors Dr. Philippe Ciuciu, Dr. Thomas Moreau and Dr. Claire Leroy
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2016–2017 Master program, Data Sciences
Ecole Polytechnique, Palaiseau, France - Cross disciplinary courses Machine Learning Theory, Kernel methods, Convex Optimization
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2015–2016 Master program, Applied mathematics
University Lille 1, Villeneuve d’Ascq, France - Focused on Probability and Statistic.
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2012–2016 Master of Engineering
Centrale de Lille, Villeneuve d’Ascq, France - Cross disciplinary courses centered around mathematics and computer science.
Open Source Projects
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Metis
- Designed for automated model selection and ensembling to optimize predictive performance
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Bandpy
- Designed to streamline research benchmarking while ensuring compliance with the GYM API
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Carpet
- Minimize 1d TV regularized problems with neural network.
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HemoLearn
- Disentangle the neurovascular coupling from the neural activation signal in a multivariate fashion for fMRI data.
Academic Interests
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Curriculum Learning
- Collaborative learning in linear bandits
- Curriculum design in linear models
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Automated Machine Learning (AutoML)
- Mathematical foundations of model selection
- Efficient hyperparameter optimization
- Time series forecasting