Yousra Bekhti
Senior Data Scientist
Greater Boston United States
Summary
👤
Senior🎓
Top SchoolYousra Bekhti is a Senior Data Scientist with 13 years of experience bridging academic signal-processing research and industry-scale data science, currently at Amazon in Greater Boston. She holds a PhD in Machine Learning from Télécom ParisTech, where her work on sparse representation, inverse problems, and MEG/EEG source localization combined optimization and neuroscience. Her career spans applied roles at ENGIE Impact driving sustainability analytics and contributions to biomedical imaging projects at Harvard/MGH and CEA, reflecting a strong background in neuroimaging and applied math. An active contributor to the widely used MNE-Python project, she has improved source localization, time-frequency analysis, PSD computation, and beamforming—skills she brings to production ML and signal-processing systems. Known for turning cutting-edge inverse-problem techniques into practical tools, she blends deep theory with pragmatic engineering to solve noisy, ill-posed real-world problems.
12 years of coding experience
12 years of employment as a software developer
Master's degree, Artifcial Intelligence - Image Processing, Master's degree, Artifcial Intelligence - Image Processing at Télécom ParisTechBachelor's degree, Compute Science and applied Mathematics, Bachelor's degree, Compute Science and applied Mathematics at Université Pierre et Marie Curie (Paris VI)Doctor of Philosophy - PhD, Machine learning, Doctor of Philosophy - PhD, Machine learning at Université Paris-Saclay
Arabic, French, English
Github Skills (11)
python10
neuroimaging10
visualizations9
beam9
machine-learning9
visualization9
statistics9
data-analysis8
time-frequency8
numpy8
scipy7
Programming languages (1)
Github contributions (5)
mne-tools/mne-python
Jun 2013 - Oct 2017
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Role in this project:
Back-end Developer & Data Scientist
Back-end Developer & Data ScientistContributions:126 commits, 15 PRs, 117 comments in 4 years 4 months
Contributions summary:Yousra's contributions primarily focused on improvements to the MNE-Python library, specifically concerning source localization and time-frequency analysis. They addressed bugs related to topomap visualizations, ensuring proper functionality for various MEG/EEG systems. Moreover, they implemented and refined functionalities for power spectral density (PSD) computations within the framework, along with corresponding tests. The user also made corrections to core beamforming algorithms and added new features and an example concerning rap-music and simulation-evaluation.
visualizationneuroimagingneurosciencepythonstatistics
yousrabk/bayes_meeg
Aug 2018 - Aug 2018
M/EEG source localization
Contributions:1 PR, 6 pushes, 1 branch in 12 days
source-localizationtranslationinternationalizationeeglocalization
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