My research focuses on leveraging machine learning methods to model and control time continuous dynamical systems. Inspired by traditional scientific parametric model building, I am working on developing novel strategies for reinforcement learning, system identification and control. As a doctoral fellow of the Max Planck ETH Center for Learning Systems, I am also a member of the Learning and Adaptive Systems group headed by Andreas Krause at ETH Zürich.