Andreas Asp Bock

Andreas Asp Bock is a postdoctoral researcher at the Department of Applied Mathematics and Computer Science within the Technical University of Denmark. His work focuses on scientific computing and numerical linear algebra, with particular emphasis on matrix approximation techniques, preconditioning strategies, and optimization methods.

• Current affiliation: Technical University of Denmark (College of Engineering)
• Academic role: Researcher (postdoctoral level)

Research interests include:

• Matrix factorization and truncation
• Bregman divergence applications
• Baysian inversion frameworks
• Curve registration algorithms
• High-dimensional data analysis
• Preconditioning for iterative solvers

Recent publications demonstrate expertise in improving approximate factorization preconditioners, geometric curve registration, and divergence-based preconditioner design. Collaborations with Martin S. Andersen and others indicate ongoing contributions to sparse linear algebra and computational statistics.

Supervision: Currently mentoring J. V. Galvão da Mata in a PhD project focused on Optimization methods for data-sparse models, active from 2022-2025.