Corentin Bel

En charge de l'implémentation et de l'optimisation de modèles d'intelligence artificielle profonds pour la modélisation du traitement hiérarchique du langage dans le cerveau.

- In charge of the design, iterative development and deployment in production of a predictive model that is used to identify risk in patient data by interacting with many different internal teams (medical, research, data science, security & business) using AWS end-to-end ML workflow services (SageMaker, Lambda, Glue, Airflow, Terraform, etc..).

- Specified, designed and led the Project / Product Management and data pipelining / ML engineering of a Deep Learning analysis of wearables data model product in order to monitor the patient's test results evolution. Done by iterating and integrating constraints from the Medical, R&D, Compliance, Legal, Business, Commercial, Technical and Marketing counterparts, while managing a team of 8 engineering interns.

- Building dashboards & data visualizations in parallel of my research work, to share insights and findings using Looker

- Interacting and learning a lot from most roles in the company, which is very easy since the company culture really allows knowledge transfer and open mindedness. Really happy to have spent 6 months with LetsGetChecked.

Specified, designed, and developed a BCI that could effectively predict the motor preparation of a subject in real time using Python, MATLAB and machine learning algorithms (SVM, XGBoost, GRUs, etc) while working in a research environment. Worked in a cross-disciplinary environment with Neuroscience researchers to link Neuroscience knowledge and AI in order to optimize the pre-existing experiment.