About
I am a PhD student in the Center for Learning Systems doctoral program, jointly affiliated with the Max Planck Institute for Intelligent Systems (MPI-IS) and ETH Zurich. At MPI-IS, I am fortunate to be advised by Dr. Michael Muehlebach, and at ETH Zurich by Prof. Melanie Zeilinger.
My research interests lie in the intersection of machine learning and control theory. I aim to develop a new framework to understand key properties such as stability, convergence, and robustness in machine learning algorithms. Moreover, I want to bridge the gap between theory and practice in machine learning. In addition, I have a strong interest in diffusion models and large language models, exploring their potential in advancing both theoretical understanding and practical applications in robotics and autonomous systems.
Recent news
- Sep 17, 2025: I presented a contributed talk at the EWRL 2025, entitled Provably Efficient Online Learning in Real-World Cyber-Physical and Robotic Systems.
- Sep 2025: Our demo proposal CRS – An Open-Source, Low-Cost, and Modular Platform for Robot Learning Research was accepted at CoRL 2025.
- Sep 2025: Our paper CRS: An Open-Source, Low-Cost, and Modular Platform for Robot Learning Research accepted at the Open-Source Hardware in Robot Learning Workshop at CoRL 2025.
- Aug 2025: Our paper Constraint-Aware Diffusion Guidance for Robotics: Real-Time Obstacle Avoidance for Autonomous Racing was accepted at CoRL 2025.
- Jul 2025: Our paper Constraint-Aware Diffusion Guidance for Imitation Learning was accepted at EWRL 2025.
- Jul 2025: Our paper Online Optimization of Closed-Loop Control Systems was accepted at EWRL 2025.