I got my master's degree in Fundamental Physics and Astrophysics in France, followed by a PhD in Germany at the Max Planck Institute for Solar System Research. My PhD thesis stood at the intersection of Solar Physics and Solar Image Processing. In particular, I developed algorithms that track optical flows from satellite imagery to analyze plasma flows at the solar surface.
After my PhD I got a postdoc at the Royal Observatory of Belgium (ROB, Brussels), where I worked on Machine Learning for flare forecasting. I was also in charge of the calibration pipeline of three ground-based telescopes observing at high cadence and high resolution in H-Alpha, CaII and white light. I also volunteered to carry on the historical pen and paper method to draw sunspots and to calculate sunspot numbers and sunspot areas, while helping on the sanity checks of the historical measurements of the Sunspot Number.
In 2016 I was awarded the Nasa Postdoctoral Program (NPP) at NASA/GSFC. I have been working at Nasa Goddard since January 2017. My main projects relate to the study of plasma flows in the heliosphere, mapping photospheric flows as well as solar wind flows using SDO, STEREO and MHD simulations. I am also an Associate Investigator for the NASA PUNCH mission. In addition, I am actively working on applying Machine Learning and Deep Learning for plasma flow mapping, semantic segmentation of solar atmospheric features, as well as anomaly detection for detecting and analyzing solar energetic events.
In my spare time, I love to take care of my kid, to cook, and when my kid lets me, I go back to my favorite hobby of astrophotography.
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