Experience

MIAI@GRENOBLE ALPES

• France
• Research Services
• 1 - 100 Employee

• PHD Graduate Student

  • Nov 2020 - Present

  Currently in the first half of my first year, I work essentially on the control of the FDR (False Discovery Rate) for proteomic data. In particular, I study the knockoff based approaches, introduced in 2015 by Barber & Candes. Then, my research should move on to the inference of missing value in proteomic data obtained my mass-specrometry, by taking into account the transcriptome of the biological sample. My work takes place in the IRIG-BGE unit from CEA Grenoble and in TIMC-IMAG. Currently in the first half of my first year, I work essentially on the control of the FDR (False Discovery Rate) for proteomic data. In particular, I study the knockoff based approaches, introduced in 2015 by Barber & Candes. Then, my research should move on to the inference of missing value in proteomic data obtained my mass-specrometry, by taking into account the transcriptome of the biological sample. My work takes place in the IRIG-BGE unit from CEA Grenoble and in TIMC-IMAG.



GE Healthcare

• Medical Equipment Manufacturing
• 200 - 300 Employee

• Research Intern

  • Mar 2020 - Aug 2020

  Labelling of 3D centerlines of vessel structures with Deep Learning. Implementation of convolutionnal operators in non euclidian spaces, adapted to vessel centerlines structure. State of the art of pre-existing/adaptable methods. Labelling of 3D centerlines of vessel structures with Deep Learning. Implementation of convolutionnal operators in non euclidian spaces, adapted to vessel centerlines structure. State of the art of pre-existing/adaptable methods.



Ecole Supérieure Polytechnique de DAKAR

• Higher Education
• 1 - 100 Employee

• Stagiaire

  • May 2019 - Aug 2019

  Stagiaire au Laboratoire d'Imagerie Médicale et de Bio-Informatique (LIMBI) rattaché à l'ESP Dakar. Développement d'un outil de détection et classification de tumeurs sur mammographie grâce au Deep Learning. Stagiaire au Laboratoire d'Imagerie Médicale et de Bio-Informatique (LIMBI) rattaché à l'ESP Dakar. Développement d'un outil de détection et classification de tumeurs sur mammographie grâce au Deep Learning.


Nsigma Junior-Entreprise
• France
• IT Services and IT Consulting
• 1 - 100 Employee
• Vice président

  • Feb 2018 - Mar 2019


BNP Paribas

• Investment Banking
• 1 - 100 Employee

• Auxiliaire d'été

  • Jul 2018 - Aug 2018

  Chargé de l'accueil de la clientèle et des opérations bancaires de base. Chargé de l'accueil de la clientèle et des opérations bancaires de base.


IMS Laboratory
• United States
• Environmental Services
• 1 - 100 Employee
• Stagiaire

  • May 2017 - Jun 2017