Djahou N. Tognon

I am Post-Doctoral researcher at Intitut Dénis Poisson, Université d’Orléans. I develop a machine-learning model to predict stage (water level) and discharge at the junction of multiple channels.”

Previously from April 2022 to june 2025, I was a Ph. D. candidate at INRIA Paris ANGE team and Laboratoire Jacques Louis Lions (Sorbonne Université) under the supervision of Julien Salomon.

My research focuses on High-Performance Computing (HPC), with a particular emphasis on the development of parallel-in-time algorithms (PinT) and the analysis of their convergence behavior for solving time-dependent partial differential equations (PDEs) constrained optimization problems. In addition to my work in HPC, I am exploring the intersection of scientific computing and machine learning, known as Scientific Machine Learning (SciML). My goal is to leverage SciML techniques to enhance the efficiency and accuracy of solving complex PDEs, contributing to advances in both computational mathematics and machine learning.

I am passionate about developing computational methods that push the boundaries of performance and scalability, with the broader goal of solving challenging real-world problems through mathematical modeling and simulation.

Here is my cv in english.