Jan Blumenkamp is a Research Associate and recent PhD graduate from the University of Cambridge with 11 years of engineering experience bridging embedded systems and multi-agent robotics. His research specializes in running graph neural network–based perception and control on real robot swarms, with prior work on emergent adversarial communication accepted to CoRL 2020. Jan pairs deep learning expertise with low-level embedded software experience from industry and research labs (including DLR and DFKI), enabling end-to-end deployments from FPGA and microcontroller firmware to distributed RL policies. Based in Cambridge, he focuses on practical transfer of GNN and MARL techniques into safety-conscious, resource-constrained robotic platforms. Colleagues describe him as someone who moves fluid research ideas into robust real-world systems, often by designing novel communication and redundancy mechanisms that work outside the lab.
11 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, multi-agent robotics/deep learning, Doctor of Philosophy - PhD, multi-agent robotics/deep learning at University of Cambridge
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at University of Bremen
Contributions:91 commits, 1 PR, 15 pushes in 4 years 6 months
robocup-juniorrescuejuniormazerobocup
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