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Clémence Bisot has a strong background in data science and deep learning. Clémence is currently working as the Lead Deep Learning Scientist and Team Manager at Preligens since February 2021. Prior to that, they worked at Safran as the Lead Data Scientist from March 2018 to January 2021, where they were responsible for plane engine durability modeling and maintenance plan forecasting using machine learning techniques. Clémence also worked as a Data Scientist and Consultant at Safran from February 2015 to March 2018, supporting various technical and industrial teams with algorithms, statistics, and data processing projects.

Before joining Safran, Clémence gained experience as an Intern Data Scientist at ArcelorMittal from June 2014 to December 2014, where they worked on multiscale images processing for automatic detection of production anomalies on steel surfaces using deep learning techniques. Clémence also worked as a Statistician at Smart-Consult Project – ENS Cachan and Val de Grâce Hospital from January 2013 to June 2013, conducting statistical analysis of medical data for the diagnosis of neurological diseases.

Additionally, Clémence has organizational and management experience as Treasurer at Piston Ski – ECP from March 2012 to March 2013, where they managed a budget and negotiated contracts for a student organization planning a large-scale ski trip. Clémence also served as the Secretary General of Mada 2012 from September 2011 to August 2012.

Overall, Clémence possesses a diverse range of experiences in data science, deep learning, statistics, and management roles, making their a valuable asset in any organization.

Clémence Bisot completed a Master of Engineering (MEng) degree in Ecole Centrale Paris from 2011 to 2014. Additionally, they pursued a Master of Science in Computational and Applied Mathematics with a specialization in Civilingenjör at KTH Royal Institute of Technology from 2013 to 2014. In terms of certifications, they obtained a Deep Learning Specialization from Coursera in 2022.