I am a scientific software engineer specialised in data processing for large scale astronomical experiments.
At the CDS, I currently use my scientific background to bridge the gap between domain scientists and machine learning experts, and set up collaborative data science challenges.
I am alway eager to learn new technologies and share my knowledge by giving tutorials for developers or the general public.
During my free time I mostly enjoy traveling, climbing and dancing salsa and swing.
At CDS, we develop an open-source collaborative data challenge ecosystem called RAMP.
I divide my time between challenge management and code base development and maintenance.
After selecting projects on proposals, I collaborate with domain scientists from various fields to set up and supervise data challenges.
On the RAMP platform, I am involved in the development of the codebase, the maintenance of the past challenges repositories and the support to challenge participants.
As the local deputy project manager for the science ground segment activities of the Euclid satellite mission, I coordinated two work packages: I lead the development, optimisation and integration of image processing algorithms into the main pipeline ; and supervised their deployment on data processing centers.
I was strongly involved in the coordination of Python activities in the collaboration (tutoring of the developers, set up of the coding standards).