David Remili

David Remili is a Data Scientist and Researcher specializing in Deep Learning for space operations and space weather at the European Space Agency (ESA).3 He has expertise in Python, Deep Learning, and Forecasting.3 At ESA, Remili has been working on developing an AI prediction tool to improve atmospheric predictions for satellite operations.1 As a Luxembourg National Trainee in ESA's Artificial Intelligence and Operations Innovation Group, he has been tasked with combining AI and astrophysics to positively impact space mission operations.1 Remili's work involves using deep learning algorithms to potentially provide more accurate predictions of how the Sun affects Earth's atmosphere than current models based on scientific understanding.1

Notable Projects

Atmospheric Prediction Tool: Remili has been developing an AI-based algorithm that uses measured data from the Sun and Earth to predict changes in Earth's atmospheric density.1 This tool aims to improve satellite orbit predictions and collision avoidance in space.1

Outlier Detection Project: While not directly mentioned in connection with his ESA work, Remili has also been involved in an Outlier Detection project for the Ministry of Home Affairs of Luxembourg, focusing on streamlining budget review processes for municipalities using AI and machine learning.2