Data-driven Modeling of Complex Physical Systems (DMP)

Major research interests

  • Data-driven analysis, model reduction and control of (stochastic) non-linear dynamical systems, with a focus on Koopman operator theory.
  • Development of robust algorithms using kernel methods as well as low-rank representations.
  • Application to molecular and quantum mechanical systems.

Detailed information on the group's research topics can be found here.

Current PhD students in the IMPRS program

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