Jonas Dieker

Jonas Dieker is a Computer Vision Engineer at Angsa Robotics, focusing on computer vision for outdoor litter-picking mobile robots. Previously, as a Data Scientist at Teraki, Jonas conducted deep learning research on LiDAR-image sensor fusion for object detection and mentored an intern in computer vision tasks. Jonas worked as a Visiting Scholar at Berkeley Artificial Intelligence Research, where research centered on learning generative models from sparse data related to climate change. Experience includes a role as a Research Assistant at the Technical University of Munich, where domain adaptation for LiDAR-based object tracking was explored, and a Data Analyst position at FoxInsights, which involved process automation and business intelligence dashboard optimization. Educational qualifications include a Master's degree in Mechanical Engineering from the University of Glasgow, a Master of Science in Robotics from the Technical University of Munich, and research stays focused on AI for sustainability and computer vision at prominent institutions.