Sebastian Blaes
Founding Member at polybot
Tübingen, Baden-Württemberg, Germany
Summary
👤
Senior🎓
Top SchoolSebastian 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 TübingenMaster’s Degree Computer Science, Master’s Degree Computer Science at Goethe University Frankfurt
English, German
Github Skills (35)
matconvnet10
matlab9
altitude9
kml9
gpx9
elevation9
d3js8
cross-entropy8
cartography8
geojson8
leaflet8
openstreetmap7
driver7
openai-gym7
trajectory-optimization7
Programming languages (7)
Github contributions (5)
s-bl/cwyc
Sep 2019 - Jan 2020
Contributions:33 commits, 32 pushes, 1 branch in 3 months
martius-lab/iCEM
Nov 2020 - Sep 2021
improved Cross Entropy Method for trajectory optimization
Contributions:1 review, 2 commits, 1 PR in 10 months
cross-entropytrajectory-optimization
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