Michele Rinelli

Michele Rinelli is a postdoctoral researcher at the Numerical Analysis and Applied Mathematics (NUMA) department of KU Leuven. His work focuses on advanced computational methods for matrix analysis and applications.

• Numerical Linear Algebra
• Krylov Methods
• Matrix Functions
• Trace Estimation
• Structured Matrices

Recent publications highlight his contributions to stochastic probing techniques, rational Krylov methods, and decay bounds in matrix functions. These works address challenges in handling sparse and large-scale matrices, with applications in quantum computing and computational science. Collaborations with researchers like Andrea Frommer, Martin Benzi, and Stefano Pozza underscore his interdisciplinary approach.

Though no explicit awards or teaching activities are detailed in the provided information, his research outputs indicate active participation in academic conferences and invited presentations, including engagements at Charles University in Prague and Sorbonne Université in Paris.