Mattias Sandberg

Mattias Sandberg is an Associate Professor at the Royal Institute of Technology (KTH), Sweden, within the School of Engineering Sciences and the Division of Numerical Analysis, Optimization and Systems Theory. He is actively engaged in teaching and examining a broad spectrum of courses in numerical methods, differential equations, and computational mathematics.

His research and teaching interests span numerical analysis, partial differential equations, stochastic differential equations, and parallel computing. He is responsible for several core and advanced courses, including Analytical and Numerical Methods for Differential Equations, Computational Methods for Stochastic Differential Equations and Machine Learning, and Numerical Methods for Partial Differential Equations. These courses reflect his deep involvement in both theoretical and applied aspects of computational mathematics.

Sandberg also serves as examiner for multiple degree projects and advanced courses, underscoring his role in mentoring and evaluating students at the master's level. His affiliation with KTH and his extensive teaching responsibilities indicate a strong commitment to education and research in applied and computational mathematics.