Alexander Meulemans
Senior Research Scientist at Google
Bern, Bern, Switzerland
Summary
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Senior🎓
Top SchoolAlexander Meulemans is a senior research scientist with nine years of experience at the intersection of machine learning, theoretical neuroscience and control, now leading research at Google after a PhD at ETH Zürich. He investigates the foundations of predictive agency and scalable multi-agent societies, combining formal theory in optimal control, game theory and Bayesian prediction with practical advances in multi-agent RL and model-based credit assignment. His work spans self-supervised sequence learning, causality-grounded policy improvement, and designing algorithms that promote robust human-AI cooperation as agents scale. A decorated conference presenter and collaborator with researchers at DeepMind and Princeton, he brings both deep theory and hands-on systems experience to high-impact problems. Outside research he is a classically trained violist who skis, hikes Swiss Alps, and perfects homemade pizza on weekends—hinting at a creative, detail-oriented approach to complex problems.
9 years of coding experience
3 years of employment as a software developer
Master of Science - MS Mathematical Engineering, Master of Science - MS Mathematical Engineering at KU LeuvenBachelor of music: Viola, Bachelor of music: Viola at LUCA School of ArtsMaster of Science - MS Mathematical engineering and Neuroinformatics, Master of Science - MS Mathematical engineering and Neuroinformatics at ETH Zürich
Dutch, English, FrenchGithub contributions (5)
meulemansalex/deep_feedback_control
Jun 2021 - Aug 2022
Contributions:1 release, 3 commits, 3 pushes in 1 year 2 months
meulemansalex/meulemansalex.github.io
Oct 2020 - Jun 2024
Contributions:37 pushes in 3 years 8 months
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