Dr. rer. nat. Daniel Lehmberg


Technische Universität München

TUM School of CIT
Department of Computer Science
Boltzmannstrasse 3
85748 Garching

Tel: +49-89-289-18639
Fax: +49-89-289-18607
Office: MI 02.05.042
Email: d.lehmberg (at) tum.de

Office Hours: by arrangement (email)

Research interests

  • data-driven modeling
  • operator-based machine learning (Koopman and Laplace-Beltrami operators)
  • dynamical systems
  • scientific software


I am maintainer and developer of the open source Python software datafold.

A main objective of datafold is to transfer methods that are based on operator theory to a machine learning perspective. With datafold you can, for example, extract infromative geometric coordinates for nonlinear dimension reduction or build predictive models from high-dimensional time series.

The software is published at the Journal of Open Source Software (JOSS).


List available at ORCID.