2019-
(current)
Research in Machine Learning for fMRI Neuroimaging.
Advised by
Jack
Gallant.
2015-2018
(3 years)
Research in Signal Processing and Machine Learning for
Neuroscience
Thesis: Non-linear models for
neurophysiological time series.
Advised by Alexandre
Gramfort and Yves Grenier.
PhD student award 1st prize winner from STIC
doctoral school at Université Paris-Saclay
PhD thesis award 1st prize winner in Signal,
Image and Vision, from the Club EEA, GRETSI
and GdR ISIS
2016-2017
(1 year)
Practical datascience (
one-week
data camp)
- 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
signals.
Matlab simulations and
implementation of these gates with analogic CMOS circuit
(with Cadence).
Summa cum laude from Ecole polytechnique (top 10%).
2011
(7 months)
Lead a paramedical unit at Paris Fire Brigade.
Decision
making in critical situations (childbirth, cardiac arrests,
strokes, car accidents, ...)