I am passionate about analyzing large datasets to solve complex problems. If data are unique, it’s an even higher source of motivation. I joined CrowdSec in September 2021 to make sense of the datalake and add machine learning to the solution.
My background is mostly applied mathematics and machine learning, which I gained studying in Paris-Dauphine University and Ecole Normale Supérieure de Cachan.
Prior CrowdSec, I experienced 4 years working in a Satellite images company as a Data Scientist, where I contributed to major research projects related to methane emissions mitigation.
Outside working hours you will most likely see me bouldering or hiking outdoor.
Crowdsec is building the largest CTI, crowdsourced by an open source security engine solution. With the help of machine learning algorithms, we analyze this data to detect and classify cyber threats in near real time.