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. Wolfram Burgard and co-supervised by Prof. Davide Scaramuzza. 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. 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.