Arthur Lindoulsi

Arthur Lindoulsi has a diverse background in machine learning and data science. Their most recent position was as a Machine Learning Engineer at Cradle, where they are currently employed. Prior to that, they worked at Novartis as a Data Scientist. In this role, they were responsible for implementing machine learning models and pipelines on the Data42 platform, as well as conducting research on asthma patient phenotypes using machine learning techniques applied to electronic health record datasets. Before Novartis, Arthur worked as an ML Engineer Intern at Philip Morris International, where they focused on building a model for user role matching on the company's IAM platform. Arthur also gained experience as a Machine Learning Engineer Intern at CATIE, where they worked on various deep learning projects including document classification, image segmentation, and word2vec using pytorch.

Arthur Lindoulsi earned a Master's degree in Ingénierie from CentraleSupélec. Prior to that, they completed a Licence in Mathématiques at Paris-Sud University (Paris XI) from 2016 to 2017. In 2015 to 2016, Arthur studied Mathématiques at Lycée Pierre De Fermat during their Prépa MP* program.