Fakhrielddine Bader

Fakhrielddine Bader

Post-doctoral fellow in Deep Learning (Medical Imaging)

ITX-INSERM (Nantes)

Welcome to my homepage!

I am currently a postdoctoral fellow in Deep Learning (Medical Imaging) at Inserm and Polytech Nantes, affiliated with the Institut du Thorax (ITX) in the Human Genetics team and the Laboratoire de Thermique et Énergie de Nantes (LTEN), under the supervision of Dr. Florent Autrusseau. My postdoctoral research focuses on the automatic detection of intracranial aneurysms and the characterization of the cerebrovascular tree from 3D medical imaging data (3DRA), aiming to support clinical decision‑making and improve stroke prevention (RHU – eCAN project, 2024–2029).

Download my curriculum vitae .

Interests
  • Deep Learning (Medical Imaging)
  • ML Engineering
  • AI for Healthcare
  • Big Data
  • Partial differential equations
  • Homogenization theory
  • Asymptotic and multiscale analysis
  • Numerical simulation
  • A posteriori error estimates
  • Cardiac electrophysiology
Education
  • Post-Doc in Deep Learning (Medical Imaging), 2026 - Present

    ITX-INSERM (Nantes)

  • Machine Learning Engineer, 2026 - Present

    Liora (ex-Datascientest)

  • Data scientist & MLops, 2025 - Present

    Machine Learnia

  • Post-Doc in Applied Mathematics, 2024 - 2025

    University of Bordeaux

  • PhD in Applied Mathematics, 2018 - 2021

    École Centrale de Nantes & Lebanese University

  • Master 2 in Fundamental and Applied Mathematics, 2017 - 2018

    Nantes University

  • Master 1 in Pure Mathematics, 2016 - 2017

    Lebanese University

  • Bachelor Degree in Mathematics, 2013 - 2016

    Lebanese University

Current projects

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🧠 RHU – eCAN project

🧠 RHU – eCAN project

Transforming intracranial aneurysm care using digital, multimodal and AI-driven tools

🫀 MICROCARD 2 project

🫀 MICROCARD 2 project

Numerical modeling of cardiac electrophysiology at the cellular scale

🫀 MICROCARD project

🫀 MICROCARD project

Modelling of Atrial Fibrillation at a very Fine Scale

Experience

 
 
 
 
 
ITX-INSERM (Nantes)
Post-doctoral fellow in Deep Learning (Medical Imaging)
Feb 2026 – Present France

My research focuses on:

  • Deep learning–based 3D detection and characterization of intracranial aneurysms
  • Vascular tree segmentation on 3D meshes using convolutional neural networks
  • Synthetic vascular modeling for neural network training and validation
 
 
 
 
 
University of Bordeaux
Post-doctoral fellow in Applied Mathematics
Feb 2024 – Mar 2025 France

My research focused on:

  • Patient-specific 3D reconstruction of human atrial anatomy from CT and MRI data
  • High-resolution finite element mesh engineering for cardiac electrophysiology simulations
  • Development and execution of electrophysiological simulation pipelines using openCARP
  • EMI-based multiscale modeling of cardiac electrical activity
 
 
 
 
 
ESILV - École supérieure d'ingénieurs Léonard-de-Vinci
Teaching Assistant
Sep 2023 – Present France

Responsibilities (270h) include:

  • Statistics, Second year of the preparatory engineering cycle, 18h PS (Pratical Sessions) and CL (Computer Labs) with Python.
  • Analysis of several variables, Second year of the preparatory engineering cycle, 36h PS.
  • Series, Second year of the preparatory engineering cycle, 27h PS.
  • Probabilities, Second year of the preparatory engineering cycle, 48h PS.
  • Mathematical tools for engineers, First year of the preparatory engineering cycle, 54h PS
  • Probabilities 1, First year of the preparatory engineering cycle, 45h PS.
  • Algebra, First year of the preparatory engineering cycle, 24h PS.
  • Derivation & integration, First year of the preparatory engineering cycle, 18h PS.
 
 
 
 
 
ICAM - Institut Catholique d'Arts et Métiers
Teaching Assistant
Sep 2023 – Feb 2024 France

Responsibilities (182h) include:

  • Mathematics OP Exp1/Exp2, First year General Engineering, 26h LC (Lecture Courses), 75h PS (Pratical Sessions) and 26h SW (Support Work).
  • Mathematics O1 Exp4, Second year General Engineering, 21h LC and 28h PS.
  • Mathematics I3, Third year General Engineering, 6h PS.
 
 
 
 
 
University of Rennes 1
Research and Teaching Assistant
Sep 2022 – Aug 2023 France

Responsibilities (192h) include:

  • Complementary math for the engineering course, Second year Mathematics-Physics-Computer Science, 24h LC (Lecture Courses), 24h PS (Pratical Sessions) and CL (Computer Labs) with Matlab.
  • Computer tools B, Second year Mathematics-Physics-Computer Science, 24h CL with Python.
  • Linear algebra 4, Second year Mathematics-Physics-Computer Science, 24h PS.
  • Maths for Biology 2, First year Biology, Environment and Chemistry, 18h PS.
  • Mathematics 1, First year Computer Science and Electronics, 40h PS.
  • Mathematical tools 1, First year Physics-Chemistry, Earth Sciences and Mechanics, 30h PS.
 
 
 
 
 
La Rochelle University
Research and Teaching Assistant
Sep 2021 – Aug 2022 France

Responsibilities (192h) include:

  • General Mathematics, First year Mathematics, 66h PS (practical sessions).
  • Mathematics for Natural Sciences, First year Biology-Chemistry, 16,5h PS.
  • Mathematics 1, First year Mathematics, 16,5h PS.
  • Mathematics 2, First year Mathematics, 16,5h PS.
  • Integration and differential equations, First year Civil Engineering, 12h PS.
  • Linear algebra 2, Second year Civil Engineering, 10,5h PS.
  • Primitives-Differential equations, First year Mathematics, 24h PS.
  • Mathematics Remediation, First year Mathematics, 30h PS.

Publications

and preprints

(2025). A posteriori error estimates and adaptive stopping criteria for cardiac monodomain model. In Submitted for publication.

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(2021). Three scale unfolding homogenization method applied to cardiac bidomain model. In Acta Applicandae Mathematicae.

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(2021). Derivation of a new macroscopic bidomain model including three scales for the electrical activity of cardiac tissue. In Journal of Engineering Mathematics.

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(2021). Multi-scale unfolding homogenization method applied to bidomain and tridomain electrocardiology models. In Doctoral dissertation, École Centrale de Nantes & Lebanese University.

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Skills

python
Python
matlab
Matlab
linux
Linux
jupyter
Jupyter
latex
Latex