Sebastian Blaes is a researcher-engineer and founding member with 11 years of experience at the intersection of machine learning, theoretical neuroscience, and robotics. He holds dual MSc degrees in Physics and Computer Science and completed a PhD in Machine Learning at the University of Tübingen, followed by a postdoc at the Max Planck Institute for Intelligent Systems focused on autonomous learning. Sebastian blends deep theoretical expertise (from plasma experiments to neural computation) with practical software and hardware tinkering, including teaching and course development in deep reinforcement learning. He is motivated by building biologically inspired computational models and testing them on real-world agents, and has transitioned that research orientation into industry-facing roles and a startup. Colleagues know him for bridging rigorous academic methods with hands-on system design and an enduring curiosity about how cognition emerges from computation.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD Machine Learning, Doctor of Philosophy - PhD Machine Learning at University of Tübingen
Master’s Degree Computer Science, Master’s Degree Computer Science at Goethe University Frankfurt
A nifty little wrapper around settings files for python
Contributions:2 commits, 1 PR, 1 comment in 5 months
niftypythonsettings
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