Associate Professor II affiliated with the Coordination of the Bachelor's Degree Program in Mathematics at the Federal University of Roraima (UFRR). He holds a Bachelor's degree in Mathematics (Licensure) from the Federal University of Rio Grande do Norte (UFRN) (2011), a Master's degree in Mathematics from the Federal University of Campina Grande (UFCG) (2015), and a Ph.D. in Applied Mathematics from the State University of Campinas (UNICAMP) (2026), in the area of Numerical Analysis, with emphasis on differential models associated with diffusive–dispersive and hyperbolic conservation laws. He has experience in mathematical modeling of fluids and in hyperbolic conservation laws.

ACADEMIC BACKGROUND

Ph.D. in Applied Mathematics.

University of Campinas, UNICAMP, Brazil.

Title: A Semi-discrete Lagrangian-Eulerian Numeric Method for Diffusive-Dispersive Hyperbolic Conservation Laws, Year of Completion: 2026

Advisor: Eduardo Cardoso de Abreu.

Master’s Degree in Mathematics.

Federal University of Campina Grande, UFCG, Brazil.

Title: O Problema de Riemann para um Modelo de Injeção de Polímero em Meio Poroso com Efeito de Adsorção (In portuguese), Year of Completion: 2015.

Advisor: Aparecido Jesuíno de Souza.

Scholarship granted by: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (in portuguese), CAPES, Brazil.

Major Field: Exact and Earth Sciences.

Degree in Mathematics (Licentiate).

Federal University of Rio Grande do Norte, UFRN, Brazil.

Scholarship granted by: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (in portuguese), CAPES, Brazil.

PROFESSIONAL DEVELOPMENT COURSES

• Introduction to Julia - The National High-Performance Computing Center – CENAPAD-SP/UNICAMP (2025), with a duration of 10 hours.

• Introduction to Julia Parallel - The National High-Performance Computing Center – CENAPAD-SP/UNICAMP (2025), with a duration of 10 hours.

• Introduction to MPI - The National High-Performance Computing Center – CENAPAD-SP/UNICAMP (2025), with a duration of 10 hours.

• Introduction to CUDA Fortran - The National High-Performance Computing Center – CENAPAD-SP/UNICAMP (2025), with a duration of 10 hours.