I am a Ph.D. student at the Autonomous Intelligent Systems Lab at the University of Freiburg and a member of the ELLIS Society. I am supervised by Prof. Dr. Wolfram Burgard and co-supervised by Prof. Dr. Davide Scaramuzza. Additionally, I am closely collaborating with the Robot Learning Lab, headed by Prof. Dr. Abhinav Valada. My interests lie in boosting machine perception as well as simultaneous localization and mapping (SLAM) systems with deep learning methods. To this end, I am mostly focusing on mobile robotics and, in particular, on autonomous driving.
I obtained my M.Sc. degree in Computational Science and Engineering at ETH Zurich, where I wrote my Master’s Thesis at the Computer Vision Lab, lead by Prof. Dr. Luc Van Gool, and was supervised by Dr. Dengxin Dai. During my time in Zurich, I was a member of AMZ Driverless, the most successful Formula Student Driverless team in the world. In my first season 2019, I worked on the vehicle’s perception system integrating multiple LiDARs and Sensor Fusion in our pipeline. Afterward, I took over the role as CTO leading an international team of approximately 20 Master’s students. To date, I am co-maintaining the FSOCO Dataset helping Formula Student / FSAE teams to get started with their visual perception systems. I further interned at the sensor fusion team of AID, a former Audi subsidiary acquired by Argo AI, working on LiDAR-based mapping.
Previously, I obtained a B.Sc. in Computational Engineering Science at RWTH Aachen University and worked as an undergraduate research assistant in the automated driving group of the Institute for Automotive Engineering. In 2016/17, I spent two semesters as a visiting student at Carnegie Mellon University in Pittsburgh, PA, taking classes in Chemical Engineering and Machine Learning.