Summary
Salomé Do is a PhD student at CNRS and École normale supérieure specializing in natural language processing and its applications to media sociology and the social sciences. With eight years of experience spanning research assistantships and industry internships, she blends deep learning and NLU expertise with applied mathematics and data science training from Ensae ParisTech. Her work focuses on building end-to-end NLP models (TensorFlow) to analyze media and societal trends, pairing rigorous academic methods with production-minded implementation. Based in Paris, she moves fluidly between theoretical modeling and empirical social science questions, bringing uncommon fluency in both quantitative math and sociological inquiry.
8 years of coding experience
MPSI/MP*, MPSI/MP* at Lycée Henri IV
PhD, Natural Language Processing / Social Sciences, PhD, Natural Language Processing / Social Sciences at École normale supérieure
Baccalauréat, Scientifique, Mention Très Bien, Baccalauréat, Scientifique, Mention Très Bien at Lycée Bossuet Notre Dame
Master of Science - MS, Applied mathematics and data science, Master of Science - MS, Applied mathematics and data science at Ensae ParisTech
French, English, German