- Developed methodologies for computer vision tasks to improve data analysis and accelerate scientific discovery-In a modern production environment (AWS, Docker, Git, etc.), work on the extraction, processing, tracking and visualization of data intensive projects through the development of databases, pipelines and data apps contributing to a world-class drug discovery engine- Implemented machine learning models and algorithms using Python and related libraries to address complex biological questions and challenges.- Develop and use deep learning models to extract complex brain diseases' phenotypes from live cell imaging at the scale of ~100,000 images- Cross-functional teams collaboration, including biologists, data scientists, software engineers

Research Internship on predicting marathon performance for the Paris 2024 Olympics.Studied and modelized marathoners performance using Functional Data Analysis on their passed performances in shorter race events.

Title : "Sequential AB-testing" : Topic : Optimization of an online process of AB-testing under a time constraint.

Implementing Lagrangian methods and scheme to solve Saint-Venant's partial differential equations.

Prepared undergraduate students for the highly competitive entrance exam of the French “Grandes Ecoles”.