Marc Rigter
Member Of Technical Staff at Stealth Startup
United States
Summary
👤
Senior🎓
Top SchoolMarc Rigter is a researcher-engineer focused on building intelligent autonomous agents, with a decade of experience spanning academic and industry research in reinforcement learning, planning, and generative world models. He completed a PhD at the Oxford Robotics Institute and postdoctoral work at Oxford’s Applied AI group, then moved to Microsoft Research to develop multi-modal foundation models for decision-making before joining a stealth startup as Member of Technical Staff. His background includes hands-on robotics work at NASA JPL tuning high-speed quadrotors and a top-of-cohort engineering degree (University Medal) in aeronautical engineering, reflecting a strong blend of theory and real-world systems. Marc co-supervised PhD students and has a track record of moving ideas from simulation to robotic platforms, with particular expertise in sequential decision-making and model-based RL. Based in the United States, he combines deep academic rigor with applied research fluency to accelerate autonomous systems development.
10 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy Machine Learning AI Robotics, Doctor of Philosophy Machine Learning AI Robotics at University of OxfordInternational Exchange Student, International Exchange Student at The University of Texas at AustinThe University of Sydney
Github Skills (16)
deep-reinforcement-learning6
reproducible-science6
singularity5
singularity-container5
science5
linux5
portability5
diffusion-models5
hpc4
parallel4
docker4
portable4
apptainer4
foundation3
cloud-native2
Programming languages (2)
Github contributions (5)
marc-rigter/marc-rigter.github.io
Jul 2021 - Jan 2024
Contributions:111 pushes, 6 branches in 2 years 6 months
ori-goals/lfd-min-human-effort
Jul 2019 - Dec 2019
Contributions:97 commits, 1 push, 3 branches in 4 months
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