Experience

Owkin

• United States
• Biotechnology Research
• 200 - 300 Employee

• Head of Engineering - Diagnostics

  • Oct 2022 - Present

  - Manage the Software Development Team of the Diagnostics Department specialized in Medical Device Development (Developers, SRE & Test Engineers) - Manage the Software Development Team of the Diagnostics Department specialized in Medical Device Development (Developers, SRE & Test Engineers)



Echosens

• France
• Medical Device
• 100 - 200 Employee

• Software Engineering Manager

  • Mar 2020 - Oct 2022

  - Manage the Application Software Team of 20 people (Lead Developers, Developers, DevOps Engineers, Test Engineers) - In charge of Cybersecurity introduction in software development processes - Manage JIRA introduction in software teams and implement development workflows

• Product Owner

  • Jun 2018 - Oct 2022

  Our software team focuses on the implementation of software solutions for the Echosens equipments. - Manage the product backlog by prioritizing it for product development and by acting as an interface with other teams - In charge of the software release deliverables according to ISO 14971/ISO 13485/IEC 62304 including the verification phase

• Software Project Manager

  • Dec 2019 - Aug 2020

  - Manage a major software project and coordinate other software teams from design to the final verification phase

• System Engineer

  • Feb 2018 - Jun 2018

  - Coordinate all other disciplines to implement system modifications on manufactured Echosens products - Conduct system verifications for all system modifications on manufactured Echosens products



Air Liquide

• France
• Chemical Manufacturing
• 700 & Above Employee

• Technical Lead

  • Apr 2017 - Feb 2018

  Our team focuses on the R&D projects for medical breathing devices and gas equipments for Air Liquide Medical Systems. As a technical lead, I am in charge of : - leading, developing and managing hardware solutions (sensors and actuators systems) and software solutions (measures pre-processing and algorithms). - keeping track of the evolutions and innovations of the field.

• R&D Engineer

  • Oct 2015 - Mar 2017

  Design, develop and implement software solutions for automatic control and signal processing of medical breathing devices



Inria

• France
• Research Services
• 700 & Above Employee

• Degree Project - INRIA Asclepios

  • Jan 2015 - Jun 2015

  Under the supervision of Lombaert H., Delingette H. and Ayache N., and co-funded by Microsoft Research, Cambridge, England Construction of a cardiac atlas from a dataset of MRI images. Application of machine learning methods (including decision forests, deep learning, convolutional neural networks), and segmentation/registration methods. Production of one research paper for one of the workshops of the 18th International Conference on Medical Image Computing and Computer Assisted… Show more Under the supervision of Lombaert H., Delingette H. and Ayache N., and co-funded by Microsoft Research, Cambridge, England Construction of a cardiac atlas from a dataset of MRI images. Application of machine learning methods (including decision forests, deep learning, convolutional neural networks), and segmentation/registration methods. Production of one research paper for one of the workshops of the 18th International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI 2015). Show less Under the supervision of Lombaert H., Delingette H. and Ayache N., and co-funded by Microsoft Research, Cambridge, England Construction of a cardiac atlas from a dataset of MRI images. Application of machine learning methods (including decision forests, deep learning, convolutional neural networks), and segmentation/registration methods. Production of one research paper for one of the workshops of the 18th International Conference on Medical Image Computing and Computer Assisted… Show more Under the supervision of Lombaert H., Delingette H. and Ayache N., and co-funded by Microsoft Research, Cambridge, England Construction of a cardiac atlas from a dataset of MRI images. Application of machine learning methods (including decision forests, deep learning, convolutional neural networks), and segmentation/registration methods. Production of one research paper for one of the workshops of the 18th International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI 2015). Show less



iMED lab, University of Pittsburgh

• Graduate Student Researcher

  • Aug 2013 - Aug 2014

  Production of research papers on Transcranial Doppler. Data collection on 20 participants. Study of cognitive tasks effects on cerebral blood flow in case of healthy participants and participants with spinal cord injury. Production of research papers on Transcranial Doppler. Data collection on 20 participants. Study of cognitive tasks effects on cerebral blood flow in case of healthy participants and participants with spinal cord injury.



Swanson School of Engineering, University of Pittsburgh

• Pittsburgh

• Graduate Teaching Assistant

  • Aug 2013 - Aug 2014

  Teaching assistant Signal Processing classes (2 hours per week, 30 students) Teaching assistant Signal Processing classes (2 hours per week, 30 students)



COLAS

• France
• Construction
• 700 & Above Employee

• Business Engineer

  • Sep 2012 - Feb 2013

  Business engineer for the installation of electrical equipment on French roads. Realization of technical files for 20 tenders. Improvement of the grade (100 % of points obtained on the last 5 tenders). Business engineer for the installation of electrical equipment on French roads. Realization of technical files for 20 tenders. Improvement of the grade (100 % of points obtained on the last 5 tenders).