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:

• Ph.D. position in Berlin, Germany on robust machine learning and robust optimization
• Coming soon

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