Research in Machine Learning for fMRI Neuroimaging
in Jack Gallant's lab
(Hellen Wills Neuroscience Institute)
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
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.
Literature review, prototyping on Matlab, state of
the art improvement (not published).
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 first aiders unit at Paris Fire Brigade.
Decision making in critical situations (childbirth,
cardiac arrests, ...)