Work
Experience
Augmented Intelligence Specialist
Guerbet • Nov 2020 – Present
Work on Prostate cancer project which aims at automatically detect and diagnose patients with cancer on MR images using biological, radiological and/or histopathological information.
- Participate and rank Top 5 winning algorithms of the PI-CAI challenge on the diagnosis and detection of clinically significant prostate cancer.
- Develop deep learning convolutional neural-network for the automatic quality control of diffusion magnetic resonance images for prostate cancer in clinical routine.
- Develop & maintain annotation modules (based on 3D Slicer) for radiologists in various projects (liver, pancreas and bone metastasis).
- Work on data management (curation, ingestion and annotation) of clinical and imaging (MRI, CT) data in heterogeneous formats (DICOM, HDF5, NIfTI/MHA).
- Co-supervise numerous internships regarding data management and research projects on prostate cancer.
Research and Development Engineer
Inria – ARAMIS Team • Nov 2018 – Oct 2020
Lead and developed onto the Clinica project, a software platform for clinical neuroimaging studies.
- Managed engineers, PhD students and postdoctoral researchers within the scope of this large scale Open Source project.
- Worked on integration between features extracted by Clinica and statistics, machine learning or deep learning.
- Contributed to ClinicaDL Framework for the reproducible processing of neuroimaging data with deep learning methods.
- Contributed to research projects involving neurodegenerative diseases or patients with stroke.
R&D Engineer and PhD Candidate
Paris Brain Institute Institute – ARAMIS and FrontLab Teams • Sep 2015 – Dec 2018
Developed and applied multimodal image analysis techniques (anatomical MRI, diffusion MRI, PET) to the study of primary progressive aphasia, a neurodegenerative disease affecting language abilities.
- Aimed at finding new biomarkers of the disease and understanding the links between brain alterations and language deficits.
- Developed tools for the analysis of MRI data into the Clinica software platform (multimodal brain image analysis) to make these tools easily usable by other researchers or clinicians. I was among the main contributors
- Contributed to research projects involving neurodegenerative diseases such as Frontotemporal Dementia or Alzheimers disease.
Research and Development Engineer
CATI Neuroimaging Platform – ARAMIS Team • Dec 2012 – Jun 2015
Worked on the topic of development of methods and software for neuroimaging data analysis including the Deformetrica software (morphometry and statistical learning). Used C++, CUDA, ITK, VTK, ITK, Matlab, CMake.
- Software maintenance, architecture, documentation
- Support role for PhD Students and postdoctoral researchers to ease their methodological developments into Deformetrica
- Software optimisation including profiling, GPU implementation with CUDA and replacement of the former linear algebra library VNL by Armadillo.
- Evaluated Deformetrica on computer-aided diagnosis of dementia based on structural MRI data with the MICCAI Challenge.
- Participated to research projects involving topics of neuroimaging (in particular structural MRI) and statistics.
Research Internship
Inria – M3DISIM Team (Formerly MACS) • Jun 2012 – Nov 2012
Subject: Data assimilation for the personalization of dynamical mechanical models under the supervision of Alexandre Imperiale and Philippe Moireau.