Dynamic and curious PhD in machine learning applied to analysis of neural signals. Obtained the second prize of best PhD from Fondation Mines-Télécom among the thirty excellence PhD scholarship given to students in 2014/2015.
I had my PhD in Computer Science at the IDS department (Image, Data and Signal) at Télécom ParisTech under the supervision of Alexandre Gramfort and Roland Badeau. My research includes Sparse representation, Inverse problem, Optimization, Compressed sensing, Signal processing, M/EEG, NeuroImaging.
I participated to several ramp (similar to Kaggle challenges) organized by the Paris-Saclay center of data science. Used mostly scikit-learn for machine learning techniques or Keras for deep learning.
Actually working as a Data Scientist @ENGIE Insight in Boston. ENGIE Insight applies technology and Data Science to drive energy efficiency and reduce environmental impact. Our aim is to thrive in a sustainable world.