I am a Weierstrass Group Leader at the Data-driven Optimization and Control research group, Weierstrass Institute, Berlin. I am also an affiliated researcher with the Empirical Inference Department, Max Planck Institute for Intelligent Systems, Tübingen.

My group focuses on the mathematical foundations and applications of machine learning and data-driven optimization & control, especially on robustness (distributional robustness/adversarial robustness/generalization/causal intervention/robust optimization), and interfacing dynamical systems and learning.

Positions available:

I write a blog here.

Research interests

In general, I am an applied mathematician interested in optimization, machine learning (with a focus on distributional robustness), function spaces, dynamical systems, and control. More specifically, I am interested in the following technical topics.

  • Machine learning, distributional robustness, kernel methods
  • Numerical analysis, numerical optimization
  • Distributionally robust optimization, stochastic optimization
  • Dynamical systems, control

learning and control