Summary
Anaïs Couasnon is a researcher specializing in stochastic and multivariate flood risk modelling with nine years of experience bridging statistical methods, hydrodynamic models and machine learning. During her PhD and subsequent roles at VU Amsterdam and Deltares she (co-)developed probabilistic frameworks for compound riverine–coastal flooding applied to diverse deltas in Houston, Ho Chi Minh City and Sofala, and led automated workflows for large-scale stochastic simulation. She combines hands-on expertise with models such as wflow, SFINCS and HEC‑RAS with practical extremes analysis for catchments like the Meuse, and now co-leads the Horizon Europe COMPASS project on climate impact attribution. Fluent in French and English and proficient in Dutch, she brings an interdisciplinary background from civil engineering to microbial lab work, enabling a pragmatic, data-driven approach to complex flood risk problems.
9 years of coding experience
10 years of employment as a software developer
French Baccalaureate, Science Program, French Baccalaureate, Science Program at Collège Stanislas
Doctor of Philosophy - PhD, Water and Climate Risk, Doctor of Philosophy - PhD, Water and Climate Risk at Vrije Universiteit Amsterdam (VU Amsterdam)
MSc. Civil Engineering, Hydraulic Engineering, MSc. Civil Engineering, Hydraulic Engineering at Delft University of Technology
B. Eng, Civil, Minor in Environmental Engineering, B. Eng, Civil, Minor in Environmental Engineering at McGill University
French, Spanish, Dutch, English