Research in Machine Learning for fMRI Neuroimaging.
Advised by Jack
2015-2018 (3 years)
Research in Signal Processing and Machine Learning for
Thesis: Non-linear models for
neurophysiological time series.
Advised by Alexandre
Gramfort and Yves Grenier.
PhD student award 1st prize winner
doctoral school at Université Paris-Saclay
PhD thesis award 1st prize winner
Image and Vision, from the Club EEA, GRETSI
and GdR ISIS
2016-2017 (1 year)
Practical datascience (one-week
- Université Paris-Saclay (M2)
Linear time series (SIGMA202a
- Télécom ParisTech (M1)
Advisor for a year-long innovative team project (PACT
- Télécom ParisTech (L3)
2015 (5 months)
Development of scikit-learn
an open source
machine learning library in python.
Development of SAG
and NMF algorithms, library maintenance.
2014 (6 months)
Image processing research on motion deblurring.
State of the art improvement (confidential).
2013 (3 months)
Research on a new calculus paradigm using stochastic binary
Matlab simulations and
implementation of these gates with analogic CMOS circuit
Summa cum laude
from Ecole polytechnique (top 10%).
2011 (7 months)
Lead a paramedical unit at Paris Fire Brigade.
making in critical situations (childbirth, cardiac arrests,
strokes, car accidents, ...)