Experience

Pulse Audition

• France
• Medical Equipment Manufacturing
• 1 - 100 Employee

• Data Scientist

  • Dec 2022 - Present



Inria Startup Studio

• France
• Business Consulting and Services
• 1 - 100 Employee

• R&D project manager - Medical image segmentation

  • Apr 2022 - Sep 2022

  Sophia Antipolis Technical lead of the DeepTech start-up project NeuroPin (https://neuropin.squarespace.com) proposing a deep learning software for clinical MRI segmentation through federated learning. - Product definition: business needs identification; competitor research. - Data management: locate the data sources to generate relevant models; gather, transform and clean the data. - Conduct proof of concept development: accurate segmentation, faster than 80% of competitors. - Team management:… Show more Technical lead of the DeepTech start-up project NeuroPin (https://neuropin.squarespace.com) proposing a deep learning software for clinical MRI segmentation through federated learning. - Product definition: business needs identification; competitor research. - Data management: locate the data sources to generate relevant models; gather, transform and clean the data. - Conduct proof of concept development: accurate segmentation, faster than 80% of competitors. - Team management: recruitment, monitoring (1 pers). - Set up collaborations with hospitals and Dr. Marco Lorenzi. Show less



University of Newcastle

• Australia
• Higher Education
• 700 & Above Employee

• Post-doctoral scientist - Translational neuroimaging

  • Jan 2020 - Mar 2022

  Newcastle, Australia Development of unsupervised machine learning approaches on large multimodal databases (MRI, cognition, genetics, etc) to identify suitable participants for dementia clinical trials. - Data management: functional and structural MRI datasets with up to ~3,000 participants. - Methods implementation: dimensionality reduction (PLS/CCA, manifold learning), non-parametric testing. - Management/Training: 3 students. - Collaborations on transversal projects. - Was awarded two competitive… Show more Development of unsupervised machine learning approaches on large multimodal databases (MRI, cognition, genetics, etc) to identify suitable participants for dementia clinical trials. - Data management: functional and structural MRI datasets with up to ~3,000 participants. - Methods implementation: dimensionality reduction (PLS/CCA, manifold learning), non-parametric testing. - Management/Training: 3 students. - Collaborations on transversal projects. - Was awarded two competitive grants (AUD 20,000). Advisor: Prof. Michael Breakspear Show less



IUT d'Orsay

• France
• Higher Education

• Teaching assistant - Computer sciences

  • Oct 2016 - Oct 2019

  Orsay, Île-de-France, France Taught undergraduate computer science, including advanced object-oriented programming (Java), operating system (C) and data structure/fundamental algorithms (C++)



CEA

• France
• Research Services
• 700 & Above Employee

• PhD candidate – Brain image segmentation

  • Oct 2016 - Sep 2019

  Saclay, Île-de-France, France Design of a computer vision algorithm, based on deep learning, dedicated to the automatic recognition of cortical sulci from MRI. The model makes 20% less errors and is 15 times faster than previous solutions. The pipeline is available in Brainvisa and used by researchers internationally. - Methods implementation: 3D convolutional neural network (UNet), patch-based segmentation. - Taught undergraduate computer science (C/C++ and Java). Advisor: Prof. Jean-François Mangin

• Research assistant - Pattern recognition

  • Apr 2016 - Sep 2016

  Design and comparison of three computer vision algorithms for automatic recognition of local cortical sulci patterns, including one based on a 3D recurrent neural network.



Maynooth University

• Ireland
• Higher Education
• 700 & Above Employee

• Research assistant - Machine learning to model cognition

  • Jul 2015 - Aug 2015

  Maynooth, Comté de Kildare, Irlande Designed a spiking neural network with dynamic synapses for language classification (Python).



Museum national d'Histoire naturelle

• France
• Museums, Historical Sites, and Zoos
• 1 - 100 Employee

• Research assistant - Statistics for metabolic phenotyping

  • Apr 2015 - May 2015

  Paris, France Analysed mass spectrometry signals from animals fed with GMO maize.