I am a graduate student within the MS&E Department where I am focusing on applied mathematics and artificial intelligence. I joined Stanford after completing my studies in mathematics and machine learning in Centralesupélec and ENS Paris Saclay in France. There, I completed multiple internships and research projects ranging from Quantitative Finance (Société Générale and Capital Fund Management) to machine learning applications in healthcare such as Brain-Machine Interfaces (INRIA Pariétal - sklearn team). My work within the Mignot Lab focuses on developing predictive models for the circadian rhythm using proteinomic data. In my free time, I enjoy boxing, social dancing and music.