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Adrien Juraver Data scientist Machine learning engineerAJ

Adrien Juraver

Data scientist Machine learning engineer
Malt Linker
5 missions
  • Tarif indicatif
    650 €/ jour
  • Expérience3-7 ans
  • Taux de réponse100%
  • Temps de réponse1h
La mission ne démarrera que si vous acceptez le devis de Adrien.
Localisation et déplacement
Localisation
Paris, France
Peut travailler dans vos locaux à
  • Paris et 50km autour
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Compétences
Adrien en quelques mots
Information processing master’s engineering graduate. I got three years of experience in machine learning and data science working with state of the art techniques. Highly motivated by modeling and forecasting challenging real-world problems from computer vision to time series analysis. I'm a productive person eager to deliver quality content.
Expériences
  • Biogen Digital Health
    Data scientist
    INDUSTRIE PHARMACEUTIQUE
    décembre 2020 - Aujourd'hui (4 ans et 5 mois)
    My main mission is to advance precision and personalized medicine through the development and validation of transformative digital measures and algorithms using biometric monitoring technologies (BioMeTs) for people living with Multiple sclerosis, Neuromuscular diseases (Parkison's disease, ALS, SMA) and Alzheimer’s disease.

    Develop and implement end-to-end signal processing pipelines, engineer features, and disease models for potential biomarkers/endpoints from sensor-based BioMeT data, including clinical studies using smartphone-based digital outcome assessment of cognitive and motor functions.
    Perform technical, analytical, and clinical validation analyses.
    Investigate BDH Solutions’ design and development of novel sensor-based solutions
  • Mila - Quebec Artificial Intelligence Institute
    Machine learning / Artificial intelligence Research engineer
    ENVIRONNEMENT
    mai 2019 - juin 2020 (1 an et 1 mois)
    Montreal, Canada Area
    Raised awareness of climate change by developing an educational tool to visualize extreme climate events. Supervised by Turing laureate : prof. Yoshua Bengio
    Implementation and extension of state of the art Generative adversarial networks and domain adaptation techniques.
    Deployment of complex models for real life problems
    Research paper accepted at ICLR 2020 Workshop
  • Thales
    Computer vision / Machine learning researcher
    DÉFENSE & ARMÉE
    septembre 2018 - mai 2019 (8 mois)
    Brest, France
    Review and re-implementation of state of the art deep learning techniques for few shot classification
    Transfer learning, Self-supervised learning, Meta-learning , Few shot learning
    Focus on interpretability, robustness and complexity of the models
    Writing of technical reports
5 missions Malt
  • Qualité

  • Respect des délais

  • Communication

A

Alf-BIOGEN MA INC

02.03.2022

We are so happy that we ended up hiring Adrien.

Recommandations externes
Formations
  • IMT Atlantique
    Engineer's degree
    2018
    Signal processing, Computer science, Telecommunication
  • Engineer's degree - Applied mathematics
    Universidad Técnica Federico Santa María
    2017
    Machine learning , data science, AI