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, affiliated with the Institut du Thorax (ITX) in the Human Genetics team, 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 CV in French or CV in English .

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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🏠 Century21 ML Estimation Project

🏠 Century21 ML Estimation Project

Machine Learning–based real estate price estimation for data-driven property valuation

🧠 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 - Graduate School of Engineering
Lecturer
Sep 2023 – Present Nantes, France

Teaching activities (365 h in total) include:

  • Functions and Numerical Sequences, First year of the preparatory engineering cycle, 27 h tutorials.
  • Supplementary Mathematics, First year of the preparatory engineering cycle, 21 h integrated lectures and problem-solving sessions.
  • Algebra, First year of the preparatory engineering cycle, 24 h tutorials.
  • Probability 1, First year of the preparatory engineering cycle, 77 h tutorials.
  • Probability, Second year of the preparatory engineering cycle, 63 h tutorials.
  • Statistics, Second year of the preparatory engineering cycle, 18 h tutorials and practical sessions using Python.
  • Engineering Mathematics, First year of the preparatory engineering cycle, 54 h tutorials.
  • Multivariable Analysis, Second year of the preparatory engineering cycle, 36 h tutorials.
  • Series, Second year of the preparatory engineering cycle, 27 h tutorials.
  • Differentiation & Integration, First year of the preparatory engineering cycle, 18 h tutorials.
 
 
 
 
 
Icam School of Engineering
Lecturer
Sep 2023 – Feb 2024 Nantes, France

Teaching activities (180 h in total) include:

  • Engineering Mathematics OP Exp1/Exp2, First year of the general engineering programme, 24 h lectures, 75 h tutorials, and 26 h academic support.
  • Engineering Mathematics O1 Exp4, Second year of the general engineering programme, 21 h lectures and 28 h tutorials.
  • Engineering Mathematics I3, Third year of the general engineering programme, 6 h practical sessions.
 
 
 
 
 
University of Rennes 1
Temporary Teaching and Research Fellow (ATER)
Sep 2022 – Aug 2023 Rennes, France

Teaching activities (184 h in total) include:

  • Supplementary Mathematics for the Engineering Programme, Second-year undergraduate students (L2), Mathematics–Physics–Computer Science, 24 h lectures and 24 h tutorials/practical sessions using MATLAB.
  • Computer Science Tools B, Second-year undergraduate students (L2), Mathematics–Physics–Computer Science, 24 h practical sessions using Python.
  • Linear Algebra 4, Second-year undergraduate students (L2), Mathematics–Physics–Computer Science, 24 h tutorials.
  • Mathematics for Biology 2, First-year undergraduate students (L1) in Biology, Environment, Chemistry and Life Sciences, 18 h tutorials.
  • Mathematics 1, First-year undergraduate students (L1) in Computer Science and Electronics, 40 h tutorials.
  • Mathematical Tools 1, First-year undergraduate students (L1) in Physics–Chemistry, Earth Sciences and Mechanics, 30 h tutorials.
 
 
 
 
 
La Rochelle University
Temporary Teaching and Research Fellow (ATER)
Sep 2021 – Aug 2022 La Rochelle, France

Teaching activities (192 h in total) include:

  • General Mathematics, First-year undergraduate students (L1) in Mathematics, 66 h tutorials.
  • Mathematics for Natural Sciences, First-year undergraduate students (L1) in Biology–Chemistry, 16.5 h tutorials.
  • Mathematics 1, First-year undergraduate students (L1) in Mathematics, 16.5 h tutorials.
  • Mathematics 2, First-year undergraduate students (L1) in Mathematics, 16.5 h tutorials.
  • Integration and Differential Equations, First-year undergraduate students (L1) in Civil Engineering, 12 h tutorials.
  • Linear Algebra 2, Second-year undergraduate students (L2) in Civil Engineering, 10.5 h tutorials.
  • Antiderivatives – Differential Equations, First-year undergraduate students (L1) in Mathematics, 24 h tutorials.
  • Remedial Mathematics, First-year Mathematics students enrolled in the two-year L1 programme, 30 h tutorials.

Publications

and preprints

Skills

python
Python
matlab
Matlab
linux
Linux
jupyter
Jupyter
latex
Latex