About

My academic foundation is in the kinematics and mobility analysis of complex parallel robots. Supported by a scholarship from the German Academic Scholarship Foundation (Studienstiftung des deutschen Volkes) and a Marie Skłodowska-Curie Research and Innovation Staff Exchange fellowship at Shanghai Jiao Tong University, I developed loop-based analytical methods for mechanisms where conventional degree-of-freedom formulas break down.

From there, I spent two years at Senvion, applying multibody simulation and vibration analysis to wind turbine structures. I complemented this work with combined measurement campaigns using acoustic, infrared, and standard cameras, as well as microphones and SCADA data, in collaboration with Fraunhofer and DNV GL.

In the next four and a half years at Ibeo Automotive Systems (later MicroVision), I continued to work at the boundary between physical and virtual systems embodied by autonomous vehicles. My focus was perception from 3D point-cloud data and sensor fusion, in particular dynamic self-calibration of 4D solid-state LiDAR sensors in an AUTOSAR-compliant environment.

I started teaching robotics courses at a private University in 2023, alongside my industry role. I am now additionally researching and working with NVIDIA Omniverse and simulation-based robot learning. I am building Physical AI pipelines based on the NVIDIA software stack for projects from the open LeRobot imitation-learning framework to humanoids. Currently, I am working on a pipeline for capturing human motion, retargeting, training, and deployment of policies in NVIDIA Isaac Lab, and exploring improvements to sim-to-real transfer.