Max Nagy studied computer science at the Karlsruhe Institute of Technology until 2024, where he focused on stochastic data processing, cryptography and distributed systems. In his master's thesis “Solving Real-World Robot Manipulation Tasks with Deep Reinforcement Learning”, he developed a sim2real pipeline for motion primitive reinforcement learning.

In his doctorate at the KIT “Autonomous Learning Robots Lab” of Prof. Gerhard Neumann, he is working on AI-based methods for robotic applications in complex domains.

Max has been an employee at the FZI since 2025.