Sophie Dabo Niang is a researcher in applied mathematics and artificial intelligence at the University of Lille 1 Sciences and Technology and Inria. Her research covers areas such as functional statistics, nonparametric estimation, spatial statistics, and mathematical epidemiology. With around sixty scientific articles and two edited books, Sophie has an impressive academic record.
Her research often integrates real-world applications across diverse fields such as economics, medical epidemiology, environmental science, and agriculture. Sophie's ability to blend theoretical and applied research makes her a key figure in these domains.
In addition to her research, Sophie is committed to promoting mathematics and supporting women in STEM, particularly in developing countries. She has served as the chair of the European Mathematical Society's Committee for Developing Countries (EMS-CDC) and as a scientific officer for the International Centre for Pure and Applied Mathematics (CIMPA).
At Henddu, Sophie plays a pivotal role in developing AI models and advanced mathematics to provide accurate and actionable air quality data. As a supervisor in the scientific maturation phase at Inria Startup Studio, she ensures that our technological innovations are rooted in rigorous scientific research. Her contributions are essential in enhancing our research capabilities and aligning our solutions with the highest scientific standards.