About Adrien
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.
French
Native or bilingual
English
Fluent
Spanish
Fluent
Can work on-site
Paris (up to 50km)
Experience
- Biogen Digital HealthData scientistPHARMACEUTICALS INDUSTRYDecember 2020 - Today (5 years and 6 months)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 InstituteMachine learning / Artificial intelligence Research engineerENVIRONMENTALMay 2019 - June 2020 (1 year and 1 month)Montreal, Canada AreaRaised awareness of climate change by developing an educational tool to visualize extreme climate events. Supervised by Turing laureate : prof. Yoshua BengioImplementation and extension of state of the art Generative adversarial networks and domain adaptation techniques.Deployment of complex models for real life problemsResearch paper accepted at ICLR 2020 Workshop
- ThalesComputer vision / Machine learning researcherDEFENSE AND MILITARYSeptember 2018 - May 2019 (8 months)Brest, FranceReview and re-implementation of state of the art deep learning techniques for few shot classificationTransfer learning, Self-supervised learning, Meta-learning , Few shot learningFocus on interpretability, robustness and complexity of the modelsWriting of technical reports
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Education
- IMT AtlantiqueEngineer's degree2018Signal processing, Computer science, Telecommunication
- Engineer's degree - Applied mathematicsUniversidad Técnica Federico Santa María2017Machine learning , data science, AI