About me
I am a postdoc at UC Berkeley in the Gallant Lab. I defended my Ph.D. in 2018, in the Image, Data, Signal department at Telecom ParisTech in France, supervised by Alexandre Gramfort and Yves Grenier. I graduated from Ecole polytechnique in 2013 and EPFL in 2015. More details can be found in my resume.
My work focuses on machine learning and signal processing for neuroscience.
I have been a core developer of scikit-learn since 2015.
News
- Sep. 2021 - Presented a tutorial at the conference on Cognitive Computational Neuroscience
- Sep. 2019 - Received a reviewer free registration for NeurIPS 2019
- Jun. 2019 - Won PhD thesis award - 1st prize in Signal, Image and Vision, from the Club EEA, GRETSI and GdR ISIS
- Feb. 2019 - Joined the Gallant Lab at UC Berkeley as a post-doc
- Nov. 2018 - Won PhD students award - 1st prize at Université Paris-Saclay STIC doctoral school
- Nov. 2018 - Defended my PhD - Non-linear models for neurophysiological time series
Blog posts
- March 2018 - Dask-Distributed and Joblib
Publications
2022
2018
PhD student award - 1st prize at Université Paris-Saclay STIC doctoral school [link]
PhD thesis award - 1st prize in Signal, Image and Vision, from the Club EEA, GRETSI and GdR ISIS [link] [news]