Experience

ASELTA Nanographics

• France
• Semiconductor Manufacturing
• 1 - 100 Employee

• Research and Application engineer

  • Feb 2021 - Present

• Research And Development Specialist

  • Feb 2021 - Present



CEA

• Chile
• Industrial Machinery Manufacturing

• Data Scientist

  • Sep 2020 - Jan 2021

  Machine learning pour applications santé - détection/forecasting de signaux caractéristiques (iEEG). Machine learning pour applications santé - détection/forecasting de signaux caractéristiques (iEEG).



Campus Numérique in the Alps

• France
• Professional Training and Coaching
• 1 - 100 Employee

• Formation data science

  • Dec 2019 - Sep 2020

  Formation dédiée aux docteurs souhaitant devenir Data Scientist/ Data Analyst.Compétences acquises :- Python (Pandas - Jupyter Notebook)- Algorithmie- Base de données (sql)- Outils statistiques pour la donnée- Machine learning : classification, régression linéaire, forecasting.- Deep learning- Grand jeu de données- Ethique de la donnée- Compétences entreprise : Agile, scrum Formation dédiée aux docteurs souhaitant devenir Data Scientist/ Data Analyst.Compétences acquises :- Python (Pandas - Jupyter Notebook)- Algorithmie- Base de données (sql)- Outils statistiques pour la donnée- Machine learning : classification, régression linéaire, forecasting.- Deep learning- Grand jeu de données- Ethique de la donnée- Compétences entreprise : Agile, scrum



Grenoble Institut des Neurosciences

• Postdoctoral Researcher at Grenoble Institute of Neurosciences (GIN)

  • Jan 2017 - Dec 2018

  Design, fabrication and test of a device to help regrow neurons following a partial destruction of the central nervous system (stroke or traumatic brain injury). I took care of defining the best animal model (rats) and developing the device after a careful review of CNS disorders. I have learned biology, particularly neurosciences the hands-on way performing surgery and behavioral testing following the operation.This device combined several strategies such as guiding of axons using a biocompatible patterned substrate and stimulation of growth by light therapy as well as bioelectricity.



LTM (Laboratoire des Technologies de la Microélectronique) - CNRS - CEA

• Postdoctoral Researcher

  • Jul 2015 - Dec 2016

  State of the art co-polymers blocks self-assembly for nm-scale lithography. The constant reduction of size of transistors in IC industry using optival lithography has hit a physical barrier and new paradigms are necessary. Block copolymers, capable of forming highly ordered structures only a few nanometers in size with a little bit of help, are good candidates to create processors below 10 nanometers in size.I developed a strategy to efficiently guide and selectively etch a silicon-based copolymer developed by Arkema. The project was in close collaboration with Arkema, Leti (CEA - Grenoble) and LCPO (CNRS - Bordeaux). More details in the paper.



University of Twente

• Netherlands
• Research Services
• 700 & Above Employee

• PhD student

  • Mar 2011 - Nov 2014

  Self-folding of micro-machined micro structures by capillary forces. Wet-it, let it fold!Inspired by origame, the japanese are of folding paper, I developed flexible micro-strucures in a state of the art cleanroom at MESA+ nanotechnology institute at University of twente. These structures were small and flexible enough to be folded by capillary forces. Aside fabrication, I developed a theoretical model of folding, that was compared to actual folding of my micro-structures.Cleanroom fabrication included thin layers deposition, oxidation, metal sputtering, optical lithography plasma and wet etching, SEM and STEM observations...