Fang Zhao is a Lead Data Scientist specializing in NLP and generative AI with eight years of experience and a Ph.D. in NLP/AI. Based in Paris, she has led end-to-end development and production deployment of a market-first QA application for language training, integrating sentiment analysis, information extraction, NER, and a RAG pipeline with semantic search and LLM fine-tuning. Her doctoral work focused on robust syntactic and semantic neural models trained on sparse, noisy, and cross-domain data, and she has hands-on experience with supervised, semi-supervised, unsupervised and reinforcement learning methods. Fang bridges research and product by maintaining SOTA awareness, improving models in production, and coordinating closely with teaching, marketing and executive teams. Colleagues describe her as a pragmatic researcher who turns academic insights into usable features and who champions reproducibility and domain adaptation in real-world NLP systems.
8 years of coding experience
Doctorat, TAL et IA, Soutenu le 3 avril 2025, Doctorat, TAL et IA, Soutenu le 3 avril 2025 at Université Paris Cité
Master, Linguistique Informatique (TAL), Master, Linguistique Informatique (TAL) at Université de Paris
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