Summary
Thomas Mach is a Postdoctoral Researcher with 14 years of international experience bridging applied mathematics and computational science. He holds a magna cum laude PhD in Mathematics and has advanced expertise in numerical linear algebra, inverse problems, and scientific computing using Matlab, C++ and Fortran. His academic career spans research and teaching roles across Germany, Belgium, Kazakhstan and the US, including positions at University of Potsdam, KU Leuven and Kent State where he combined research on image processing and data analysis with undergraduate instruction. Colleagues value his ability to translate deep theoretical results into reproducible numerical algorithms and robust code for real-world inverse problems. Notably, his profile reflects a steady focus on both foundational numerical methods and hands-on implementation across diverse computational environments.
14 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Mathematics, magna cum laude, Doctor of Philosophy - PhD, Mathematics, magna cum laude at Technische Universität Chemnitz
German, English, Dutch