Summary
Nico Bohlinger is a PhD student at TU Darmstadt researching reinforcement learning for multi-embodiment legged locomotion, blending AI theory with real-world robotics. With eight years of experience across academia and industry, he has built software for RoboCup humanoid and 3D-simulation teams, tutored core CS courses, and completed data- and web-focused internships in finance and asset-management tooling. His background in bioinformatics (MSc) and business informatics (BSc) gives him a cross-disciplinary edge in modeling complex systems and turning algorithms into reproducible code. Supervised by Prof. Jan Peters, he focuses on generalizable locomotion controllers that transfer across embodiments—an uncommon bridge between reinforcement learning research and practical robot deployment.
8 years of coding experience