You're seeing this page as if you were . The main menu is still yours, though. Exit from immersion
Gauthier MirallesGM

Gauthier Miralles

Research scientist PhD

650 €/jour
Paris, FR
3-7 ans

Délai de réponse moyen : 1h

À propos de Gauthier

I'm passionate about machine learning and mathematics, with over 7 years of experience in the field, including PhD-level research. I help companies, researchers, and startups turn complex problems into clear, data-driven solutions.

Whether it's developing deep learning models, solving advanced mathematical/statistical problems, or writing efficient, production-ready code, I bring a strong combination of theoretical insight and practical implementation.

What I offer:
End-to-end ML model development (NLP, computer vision, time series)

Custom algorithms and mathematical modeling

Data science workflows: from data cleaning to dashboards

Clean, well-documented code in Python, PyTorch, TensorFlow, NumPy, etc.

Consulting on research-related or technical challenges

Why work with me:
Deep academic expertise, with a focus on rigor and reliability

Able to explain complex ideas in simple terms

Flexible and responsive to your project’s specific needs

Let’s discuss how I can support your project or business!
  • Français

    Bilingue ou natif

  • Anglais

    Bilingue ou natif

  • Espagnol

    Capacité professionnelle complète

Accepte de travailler sur site
Paris (jusqu’à 50 km)

Expériences

  • GE Healthcare
    PhD CIFRE
    SECTEUR MÉDICAL
    septembre 2024 - Aujourd'hui (1 an et 9 mois)
    Buc, France
    Unsupervised Domain Adaptation, Computer Vision, Medical Imaging, Foundation models, 6 DoF pose estimation
    Mathematics Python Pytorch
  • GE Healthcare
    Research engineer
    janvier 2024 - septembre 2024 (8 mois)
    • Bibliography on 6 DOF pose estimation from a single X-ray image
    • Design and implementation of a deep learning-based method
  • GE Healthcare
    Research scientist intern
    avril 2023 - octobre 2023 (6 mois)
    • Bibliography on the newest 2D/3D registration methods in the rigid case
    • Design and implementation of a sparse deep neural network inspired from the latest research in the context of pelvis and chest X-ray images
    • Test of robustness (noise, contrast, surgical tools, gas motion) on a real dataset

Recommandations

Soyez le premier à recommander Gauthier

Contribuez à la réussite de ce freelance en partageant votre expérience de collaboration avec lui.

Ces profils de freelance correspondent également à vos critères

AgathaA

Agatha Frydrych

Backend Java Software Engineer

4.7

(3)

2

BaptisteB

Baptiste Duhen

Fullstack developer

4.6

(4)

5

AmedA

Amed Hamou

Senior Lead Developer

4

(2)

7

AudreyA

Audrey Champion

Web developer

4.3

(3)

4

Formations

  • Institut Polytechnique de Paris PHD IN DEEP LEARNING
    2027
  • IN DATA SCIENCE
    Ecole Polytechnique
    2023
    IN DATA SCIENCE

Compétences

Catégories