Felix Bartel

Felix Bartel is a postdoctoral researcher at the School of Mathematics and Statistics, University of New South Wales (UNSW Sydney) since January 2025, working under Professors F. Kuo and I. Sloan on computational mathematics research.

His academic background includes:

• Doctoral studies (2019-2023) at Chemnitz University of Technology supervised by Prof. D. Potts
• MSc in Mathematics (2017-2019) from Chemnitz University of Technology with Erasmus exchange at KU Leuven
• BSc in Mathematics (2014-2017) from Chemnitz University of Technology
• GCE A-levels (2006-2014) from Städtisches Gymnasium Mittweida

Dr. Bartel's research centers on high-dimensional approximation and information-based complexity, with significant contributions to Fourier analysis, rank-1 lattices, and fast regularization algorithms. His work bridges theoretical function space analysis with practical computational implementations for harmonic approximation problems, demonstrating strong interdisciplinary connections to machine learning methodology.

His publication record shows focused development of efficient numerical methods, particularly through the 2019 work on Fast Cross-validation in Harmonic Approximation which established computational frameworks applicable to high-dimensional data analysis. These contributions primarily advance the fields of numerical analysis and approximation theory with growing relevance in data science applications.

No scientific awards were documented in the source materials.

There is no available information regarding student advising or research grant acquisitions.

Dr. Bartel maintains an active international research network with documented collaborations at Chemnitz University of Technology, University of South Carolina, University of Vienna, and VIASM, working alongside prominent researchers including Professors D. Potts, T. Ullrich, P. Binev, and V. Temlyakov, though no specific laboratory affiliation is specified.