Thomas Mach

Dr. Thomas Mach is a Postdoctoral Researcher at the Institute of Mathematics, University of Potsdam, Germany, focusing on Data Assimilation under Prof. Melina Freitag. His work bridges theoretical and applied numerical linear algebra.

• Research Interests
• Numerical linear algebra for large/structured matrices
• Krylov subspace methods and iterative eigenvalue solvers
• Adaptive cross approximation and regularization techniques
• Applications to inverse problems and parametric systems

Publication Trends show expertise in matrix eigenvalue problems, regularization for ill-posed equations, and algorithm design for structured systems. Co-authored works with leading experts like David S. Watkins demonstrate methodological innovation.

Awards:

• SIAM Outstanding Paper Prize (2015) for polynomial root-finding research

Academic Service includes co-organizing workshops, serving as Associate Editor for numerical analysis journals, and active participation in international conferences like ILAS, SIAM, and GAMM.