Fakhrielddine Bader

Fakhrielddine Bader

Postdoctoral Researcher in AI, Modelling and 3D Medical Imaging

ITX-INSERM (Nantes)

Welcome to my homepage!

I am currently a Postdoctoral Researcher in AI, Modelling and 3D Medical Imaging at Inserm, affiliated with the Institut du Thorax (ITX) in Nantes, within the Human Genetics team, under the supervision of Dr. Florent Autrusseau.

My current research focuses on the automated detection and 3D characterisation of intracranial aneurysms, the geometric and morphological analysis of the cerebrovascular tree from 3D medical imaging data (3DRA), and the generation and characterisation of synthetic aneurysms. I also develop automated pipelines for the detection and spatial characterisation of aneurysm blebs and for the analysis of vascular structures from 3D segmentations.

This work is carried out within the RHU eCAN project (2024–2029), which aims to advance the characterisation of intracranial aneurysms and support clinical decision-making.

Download my CV in French or CV in English .

Interests
  • AI for Healthcare
  • Medical Imaging
  • Machine Learning
  • Deep Learning
  • 3D Geometric and Biomedical Modelling
  • Scientific Computing and Numerical Modelling
  • Partial Differential Equations
  • Homogenisation Theory
  • Multiscale Analysis
  • A Posteriori Error Estimation
  • Cardiac Electrophysiology
Education
  • Postdoctoral Research in AI, Modelling and 3D Medical Imaging, 2026 - Present

    Inserm – Institut du Thorax (ITX), Nantes

  • Professional Training Programme – Machine Learning Engineer, 2026 - Present

    Liora (formerly DataScientest)

  • ML Pro – Machine Learning Engineering and MLOps, 2025 - Present

    Machine Learnia

  • Postdoctoral Research in Cardiac Numerical Modelling, 2024 - 2025

    Institute of Mathematics of Bordeaux (IMB) & IHU Liryc, University of Bordeaux

  • PhD in Applied Mathematics, 2018 - 2021

    Centrale Nantes & Lebanese University

  • Master's Degree (M2) in Fundamental and Applied Mathematics, 2017 - 2018

    University of Nantes

  • Master's Degree (M1) in Pure Mathematics, 2016 - 2017

    Lebanese University

  • Bachelor's Degree in Pure Mathematics, 2013 - 2016

    Lebanese University

Current projects

*
🏠 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

 
 
 
 
 
Inserm - Institut du Thorax (ITX)
Postdoctoral Researcher in AI, Modelling and 3D Medical Imaging
Feb 2026 – Present Nantes, France

My research focuses on:

  • Automated detection and 3D characterisation of intracranial aneurysms from 3DRA medical imaging data.
  • Geometric and morphological analysis of the cerebral vascular tree from 3D segmentations.
  • Detection and labelling of aneurysm blebs using local geometric and morphological criteria.
  • 3D spatial characterisation of aneurysms, blebs and vascular branches, including anatomical positioning and geometric relationships.
  • Generation and morphological characterisation of synthetic intracranial aneurysms using the VAMOS geometric model.
  • Development, automation and validation of medical imaging analysis pipelines on patient cohorts, including quality control, calibration and parallel processing.
 
 
 
 
 
Institute of Mathematics of Bordeaux (IMB) & IHU Liryc - University of Bordeaux
Postdoctoral Researcher in Cardiac Numerical Modelling
Feb 2024 – Mar 2025 Bordeaux, France

My research focused on:

  • Patient-specific 3D reconstruction and validation of human atrial anatomy from CT and MRI data.
  • Construction, optimisation and quality control of high-resolution cardiac meshes for finite element simulations.
  • Development and standardisation of simulation-ready modelling pipelines, including geometry, connectivity and anatomical labelling.
  • Setup and execution of cardiac electrophysiology simulations using openCARP to investigate electrical propagation and atrial fibrillation.
  • Analysis and visualisation of electrophysiological simulation results.
  • Development of a structured database of more than 30 patient-specific atrial models, with an emphasis on traceability and reproducibility.
 
 
 
 
 
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