I recently completed my Ph.D. at the "Robotics and Perception Group" led by Prof. Dr. Davide Scaramuzza at the University of Zurich. My research focuses on high-speed and high-dynamic range visual perception using Event Cameras and aims at bringing these sensors closer to the research community. To do so, I am employing deep-learning and model-based approaches to leverage the outstanding properties of event cameras with data-driven techniques. I completed my masters in mechanical engineering at ETH Zurich and during my master thesis I worked on developing EKLT, asynchronous phototometric feature tracker using events and frames, for which I received the ETH medal, awarded for the best Master Thesis. Previously, I gained expertise in artificial intelligence when working at "F&P Personal Robotics" where I was in charge of enabling context-aware task planning for a robotic manipulator.