Gregory Sainton

I am a Research Engineer in Machine Learning at Observatoire de Paris | PSL within the LUX team (Laboratoire d’etude de l’Univers et des phenomenes eXtremes).

I am part of the SKA (Square Kilometre Array) collaboration. It is an international radio telescope project designed to address fundamental questions in astrophysics, from the formation of the first galaxies to the search for life in the Universe. With a collecting area equivalent to one square kilometre, a tremendous amount of data, making automated data processing a central challenge.

Within the LUX team at Observatoire de Paris, my contribution consists in developing tools and machine learning algorithms aimed at automating sources detection in radio data.

Previously, I was a Research Engineer at IPGP (Institut de Physique du Globe de Paris) in the Planetology and Space Sciences Lab, where I worked on:

• The NASA InSight mission — building tools to analyse data from the Martian seismometer SEIS. I was especially involved in the detection and the removal of the glitches in the seismic data. I also developped a complete library to manage time on Mars.
• AIT (Assembly, Integration and Tests) of the future Lunar seismometer FSS (Farside Seismic Suite), part of NASA’s CLPS programme. I was part of the final vibes test of the different models (FM and QM)
• Development of IoT devices for a homemade turbidimeter.

My research interests include unsupervised learning, signal processing for planetary science, and ML applied to astrophysics and Earth observation.