Departament: Matemáticas

Àrea: Anàlisi Matemàtica

Grup de recerca: FQM315 Análisis Teórico y Numérico de Modelos de las Ciencias Experimentales

Correu: daniel.acosta@uca.es

Web personal: https://github.com/danielacos/Papers-src

Àrees PAIDI: Física, Química y Matemáticas

Doctor per la Universidad de Cádiz amb la tesi Analysis and numerical simulation of tumor growth models 2024. Dirigida per Dr. José Rafael Rodríguez Galván, Dr/a. Jin Wang, Dr/a. Francisco Manuel Guillén González.

My research field is the numerical analysis of partial differential equations (PDE), particularly using discontinuous Galerkin (DG) methods. Among the models I study, I am especially interested in PDE models of biological processes such as phase-field tumor growth models, brain cells movement and chemotaxis, as well as in their real-life applications. In this context, I have already published several papers in high-impact Q1 journals and presented my contributions in numerous international conferences and seminars. The code that I have developed for my publications and preprints is available online at https://github.com/danielacos/Papers-src