Djahou N. Tognon

I am currently pursuing a PhD in Applied Mathematics at the Institut National de Recherche en Sciences et Technologies du Numérique (INRIA) Centre de Paris, as part of the ANGE Project-Team in collaboration with Sorbonne Université within the Laboratoire Jacques-Louis Lions (LJLL).

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 also interested in domain decomposition methods in general and computational fluid dynamics.

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.