Summary
Thituyettrang Chau is an applied mathematics researcher with eight years of experience at the intersection of statistics, machine learning and environmental science, currently developing explainable multi-modal embedding methods for plankton image classification at Inria. She has a strong academic background (PhD, Université de Rennes) and a track record of teaching and collaborative research across Europe and Vietnam, including postdoctoral work on statistical ocean carbon monitoring for Copernicus. Her expertise spans non-parametric data assimilation, metocean data fusion and scarce-sample learning, bringing rigorous mathematical methods to practical environmental monitoring problems. Notably, she pairs classroom experience—from secondary education to postgraduate lecturing—with hands-on research in international projects, reflecting both pedagogical breadth and applied ML depth.
8 years of coding experience
Bachelor's degree, Mathematics Teaching Education, 3.88/4, Bachelor's degree, Mathematics Teaching Education, 3.88/4 at Can Tho University
Master's degree, Applied Mathematics, 15.8/20, Master's degree, Applied Mathematics, 15.8/20 at Université d'Orléans
Doctor of Philosophy - PhD, Applied Mathematics, Doctor of Philosophy - PhD, Applied Mathematics at Université de Rennes
English, French, Vietnamese