Experience

  1. Consultant

    Visual Meaning (Start-up)
    Bridging the gap between developers and non-technical consultants, I design and prototype software solutions to transform complex corporate data into accessible knowledge graphs that underlie interactive visual maps.

  2. Postdoctoral Researcher

    University of Oxford, IBME
    In collaboration with surgeons, I have developed a Python prototype of an interpretable clinical decision support system to support the decision of accepting or not a kidney transplant with interpretable ML.

  3. PhD Researcher

    Nokia Bell Labs
    During this industrial PhD (CIFRE), I developed pattern matching solutions for alarm prediction and root cause analysis in telecommunication networks. I have delivered a Python root-cause analysis module, which has been transferred to Nokia’s business units. Alternatively, I have produced a theoretical cartography of Hidden Markov Models and Recurrent Neural Networks’ expressivities.

  4. Lab Supervisor

    For two consecutive years, I supervised lab sessions for a course on Scientific Calculus (Master 1) and another one on Image Segmentation with Hidden Markov Models (Master 2) at Télécom SudParis. These courses were respectively coordinated by Yohan Petetin, and Wojciech Pieczynski and Emmanuel Monfrini.

Education

  1. PhD in Computational Mathematics

    Institut Polytechnique de Paris

  2. Diplôme d'ingénieur (Master)

    Télécom Paris

  3. Master's specialisation in Data Science and Engineering

    EURECOM

  4. Classe Préparatoire aux Grandes Écoles (MPSI/MP)

    Lycée du Parc
    French cram school focusing on Maths and Physics
Skills & Hobbies
Technical Skills
Machine Learning
Python
TensorFlow
PyTorch
Scikit Learn
RDF
SPARQL
HTML/CSS
Javascript
D3
Aria
Hobbies
Drawing
Fencing
Cooking
Awards
Languages
100%
French
75%
English