About me

Who am I?

Hi, I’m a PhD student specializing in machine learning-based behavior planning for autonomous driving. I’m particularly interested in robust imitation learning, which involves training an autonomous vehicle to imitate expert drivers and learn from their behavior in order to navigate complex traffic scenarios safely and efficiently, while maintaining broad generalization even in the presence of realistic adversarial examples and distributional shifts. I’m passionate about staying on top of the latest advances in machine learning and autonomous driving, and I’m always eager to explore new avenues for innovation and improvement.

Research interests

  • Adversarial Robustness
  • Generative Models, especially CVAEs
  • Graph Neural Networks


  • Winner of the 2023 nuPlan Competition hosted at CVPR Workshop End-to-End Autonomous Driving: Emerging Tasks and Challenges
  • M.Sc. (final grade: 1.0): With distinction
  • B.Sc. (final grade: 1.3): Grashof Award: Being among the best four bachelor graduates at KIT in 2019

Student Theses

I am always looking for enthusiastic students with a strong background in machine learning and ideally with experience in autonomous driving. You can find current theses on my university website or on the Bosch Careers page.