Franziska Nestler

Franziska Nestler is a Researcher at the Department of Mathematics, Chemnitz University of Technology, with a focus on applied functional analysis and computational methods. She leads the BMBF junior research group SALE (Fast Algorithms for explainable recommendation systems) and contributes to E-learning initiatives at the Faculty of Mathematics.

• Education: Diploma in Mathematics (2012), PhD in Applied Functional Analysis (2018)

Research interests center on fast Fourier-based algorithms for electrostatic interactions in particle systems, machine learning with interpretable kernel methods, and E-learning tools for mathematics education. Her work bridges numerical analysis, computational physics, and pedagogical innovation.

Key scientific awards include the Best Poster Award at the Strobl18 Workshop. She has collaborated on projects like DFG's Fast Fourier-based Coulomb solvers and BMBF's Qualitätspakt Lehre for teaching digitalization.

• Advising: Supervised Master’s and Bachelor’s theses in fast summation methods and inverse NFFT techniques