My ultimate goal is to spend my 80,000 working hours with a lasting effect on our world. I believe technology is built to solve problems, so let's start with engineering today, for a better planet.
I started trying to make a difference early on by leading a highly motivated team of students building an autonomous electric racing car from scratch. Actually, the most fun part was explaining and demonstrating the technology to our audience and seeing the fascination in their eyes. I hope to contribute to a more enlightened world, where there are fewer prejudices against new perspectives and emerging technology and where knowledge is not reserved for the privileged.
During my dual studies of mechatronics together with Audi, I have gained a lot of very valuable experience in different departments in the automotive sector. I spent half a year in the tech-city of Barcelona together with SEAT and their amazing Metropolis:Lab (now SEAT:CODE), and started to appreciate the agile development approach. There, we developed the MVP for a bus-on-demand mobility solution that enables optimized travel at low CO2 costs.
At the department of safety functions at Audi, I wrote my bachelor thesis on modeling the driver reaction in rear-end collision scenarios by analyzing naturalistic driving data. I hope that my results will have an impact on minimizing the worldwide number of fatal car accidents.
One of the most promising technologies of this decade is undoubtedly machine learning, or as I like to call it: learning from data. I remembered my fascination at the time when I saw Deepmind's AlphaGo win against Lee Sedol or how AlphaStar tackled StarCraft 2 (and I wondered why I was so bad at this game). So I started to teach myself the basics of machine learning and artificial intelligence and ultimately began my Masters at TU Munich in Robotics Cognition Intelligence.
Having finished my Masters Thesis at BMW, I am now thrilled to be on my next mission to help building the largest AI ecosystem in Europe together with appliedAI and IPAI and to shape the future of AI we all want to live in. Exciting times ahead! Stay tuned!