Jan Hellwig

Jan Hellwig is a researcher at the Institute of Mathematics, University of Rostock. He specializes in numerical mathematics and its applications in NMR spectroscopy, with a focus on time series analysis and machine learning methodologies. His research interests include signal tracking, hard modeling of spectral data, and AI-driven improvements in quantitative analysis. Hellwig has been actively involved in teaching numerical analysis courses for engineering and computer science students since at least 2021, including roles in exercise classes and course coordination. He serves as treasurer of the Mathematics Association RHO eV, organizing educational seminars for school students in Mecklenburg-Western Pomerania.

• Affiliations: Institute of Mathematics, Numerical Mathematics Team
• Key Research Areas: NMR Data Analysis, Machine Learning in Spectroscopy, Numerical Methods

His recent work bridges mathematical theory and practical applications, as seen in publications addressing NMR time series analysis and AI-enhanced hard modeling techniques. Hellwig collaborates with interdisciplinary teams, evidenced by co-authorships in journals like Journal of Magnetic Resonance and Journal of Mathematical Chemistry.