I am a Research Scientist within the Computer Science and Artificial Intelligence Lab at MIT and an incoming Assistant Professor in Computer Science at the University of Toronto (starting in August 2021). My current work, supervised by Sertac Karaman and Daniela Rus, focuses on situational awareness for autonomous driving.
Prior to that I was affiliated with the Autonomous Systems Lab of ETH Zurich working with Roland Siegwart on robotic perception, particularly localization and mapping. I obtained my PhD degree in computer science working on nonlinear estimation at the Intelligent Sensor-Actuator-Systems Lab of the Karlsruhe Institute of Technology. It was supervised by Uwe Hanebeck and Simon Julier (co-supervisor).
Early on, I was fascinated by the laws that govern uncertainty and their applications, which was my focus while studying Mathematics (Major) and Computer Science (Minor) at the University of Stuttgart. My work aims at enabling robust interactive autonomy by developing novel perception and decision making methods for challenging dynamic environments.
The Toyota-CSAIL Joint Research Center is aimed at furthering the development of autonomous vehicle technologies.
The goal of ETH’s Voliro focus project was building a new hexacopter with unprecedented maneuverability.
The EU FP7 SHERPA project aimed at developing a multi-robot platform to support search and rescue activities.
I have been involved in different aspects of student supervision and teaching. Major teaching activities involve the following lectures
Artificial Intelligence for Robotics (Lecturer, ETH)
Stochastic Information Processing (Assistant, KIT)
Furthermore, I was working as student tutor while studying mathematics responsible for holding exercise courses and correcting homework exercises and tests for the lectures