Sébastien Tétaud
About Sébastien Tétaud
Sébastien Tétaud is a Lead Data Scientist at LuxPM with a background in artificial intelligence applications for satellite data processing and extensive experience in the aerospace sector.
Work at Luxolis
Sébastien Tétaud currently holds the position of Lead Data Scientist at LuxPM in Seoul, South Korea. His role involves overseeing data science initiatives and leading projects that focus on data analysis and artificial intelligence applications. His extensive background in satellite data processing and machine learning frameworks supports the company's objectives in the aerospace sector.
Previous Experience at European Space Agency
Sébastien Tétaud has significant experience with the European Space Agency (ESA). He worked as a Data Scientist (YGT) from 2019 to 2021 in Noordwijk, South Holland Province, where he focused on data analysis related to space instrumentation. Additionally, he completed his Master Thesis in Data Analysis for Space Instrumentation at ESA in 2017, contributing to projects that involved satellite data processing.
Education and Expertise
Sébastien Tétaud studied at Université Paris-Saclay, where he earned a Master's degree in Astronomical and Space-based Systems Engineering in 2017. He also achieved a Master's 1 in Applied Physics from the same institution between 2015 and 2017, and a Bachelor's degree in Applied Physics from 2014 to 2015. His education has equipped him with a strong foundation in physics and engineering principles, particularly in the context of aerospace applications.
Background in Data Science and Engineering
Sébastien Tétaud has a diverse background in data science and engineering. He worked as a Data Engineer for Earth Observation at CNRS from 2018 to 2019 and as an R&D/Data Engineer at CERN in 2018. His experience also includes research internships at Berkeley Lab in 2016 and Westfälische Wilhelms-Universität Münster in 2014. This varied experience has contributed to his expertise in real-time satellite anomaly detection and complex data workflows.
Technical Skills and Tools
Sébastien Tétaud utilizes Airflow for orchestrating complex data workflows, particularly in satellite data analysis projects. He has developed expertise in advanced machine learning frameworks, including Keras and TensorFlow, which he applies to real-time satellite anomaly detection. His technical skills are essential for enhancing data processing capabilities in the aerospace sector.