Thomas Trigo Trindade
Biography
Thomas Trigo Trindade is a research consultant in the Stochastic Numerics group at KAUST. He specialises in the intersection of uncertainty quantification, model order reduction and numerical methods.
He obtained his PhD in 2025 under the supervision of Prof. Fabio Nobile at EPFL, focusing on model order reduction techniques applied to parametrised dynamical systems and filtering problems. Thomas was selected as a KAUST Global Postdoctoral Fellow for the 2026 Cohort of the KAUST Global Fellowship Program.
Expertise and Interests
Thomas's research interests focus on data assimilation for high-dimensional problems, with emphasis on dynamical low-rank methods and Kalman and particle filtering.