Fei GAO

Fei GAO is a teacher-researcher in data science at the National School of Public Health (EHESP), affiliated with the Department of Quantitative Methods in Public Health (METIS). He specializes in developing statistical and IT tools for analyzing health inequalities using big data and spatial analysis techniques.

• Doctorate in spatial analysis and data science
• Computer engineer from INSA (National Institute of Applied Sciences of Rennes)

His research focuses on Machine Learning, Predictive Analysis, and advanced big data techniques in hospital management and health services. He contributes to national working groups like REDSIAM and SNDS expert groups, and evaluates research funding applications for IRESP.

Fei GAO leads the Health Data Science diploma program at EHESP and teaches modules on PMSI data extraction, geographical analysis, and biomedical information processing. His technical expertise includes Python, R, Spark, NLP, and BERT.