Assia Chahidi
About Assia Chahidi
Assia Chahidi is a Data Science Intern at Inria in Valbonne, France, where she has worked since 2022. She has a background in biomedical engineering and computer vision, with previous internships at the Astrophysical Research Center of Lyon and Medicar.
Work at Inria
Assia Chahidi has been working as a Data Science Intern at Inria since 2022. Located in Valbonne, Provence-Alpes-Côte d'Azur, France, her role involves applying data science techniques to various projects. During her internship, she has contributed to the development of quantitative analysis methods, particularly in the context of biological data.
Previous Experience in Data Science
Before joining Inria, Assia Chahidi worked as a Data Scientist intern at the Astrophysical Research Center of Lyon (CRAL) in 2021 for six months. In this position, she developed a quantitative analysis pipeline for studying the dynamic behavior of RNP granules using high-resolution imaging. Additionally, she optimized an algorithm for the automatic detection of granules in confocal image time series.
Biomedical Equipment Technician Roles
Assia Chahidi has experience as a Technicien d’équipement biomédical. She worked at MEDICAL 2000 in 2016 for one month and at Medicar in 2018 for three months, both in Casablanca, Maroc. In these roles, she was involved in the maintenance and management of biomedical equipment, contributing to healthcare technology.
Education and Expertise
Assia Chahidi holds two Master's degrees in relevant fields. She studied Computer Vision engineering at Aix-Marseille University from 2021 to 2022. Prior to that, she completed a Master's degree in Computer Vision and Biometrics at Université Paris-Est Créteil (UPEC) from 2019 to 2021. Her educational background includes a Licence professionnelle in Biomedical Engineering from Université Mohammed VI des Sciences de la Santé, completed from 2015 to 2018.
Technical Skills and Projects
Throughout her academic and professional career, Assia Chahidi has developed technical skills in data analysis and biomedical engineering. She created tools for reconstructing individual granule trajectories and analyzing their fusion properties. Her work demonstrates a strong foundation in quantitative analysis and algorithm optimization, particularly in the context of biological research.