Lukas Koestler

Co-Founder at EWOR

Munich, Bavaria, Germany
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Summary

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Rockstar
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Lukas Koestler is a co-founder and computer vision researcher with a decade of experience building perception systems at the intersection of 3D vision and language. Based in Munich, he co-founded SE3 Labs where SpatialGPT combines 3D scene understanding with natural language to answer complex spatial queries, drawing on PhD-level research with Prof. Daniel Cremers at TUM. His background includes applied research stints at NVIDIA and Tesla’s Autopilot team, plus industry work on autonomous driving and software development at BMW, giving him rare fluency in both academic rigor and production-scale systems. Lukas holds advanced mathematics and engineering degrees from TUM, École Polytechnique, ETH Zürich and exchanges at Notre Dame, and has a track record of teaching and mentoring across mathematical and computational courses. Colleagues describe him as someone who turns deep geometric insight into practical tools—an engineer who thinks in 3D and ships in the real world.
code10 years of coding experience
bookMaster of Science - MS Mathematics in Science and Engineering, Master of Science - MS Mathematics in Science and Engineering at École Polytechnique
bookMaster Mathematics in Science and Engineering, Master Mathematics in Science and Engineering at Technical University of Munich
bookMechanical Engineering, Mechanical Engineering at University of Notre Dame
bookBachelor of Science - BS Engineering Science, Bachelor of Science - BS Engineering Science at ETH Zürich
languagesEnglish, German, French
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Stackoverflow

Stats
340reputation
8kreached
7answers
4questions
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Github Skills (101)

python10
gpu10
visual-odometry10
3d-reconstruction10
tandem10
stereo10
slam10
numpy9
neural-network9
3d9
deep-learning9
machine-learning9
computer-vision8
tensor8
qt8

Programming languages (8)

C++RustCTeXSwiftJupyter NotebookPythonCuda

Github contributions (5)

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tum-vision/tandem

Nov 2021 - Apr 2022

[CoRL 21'] TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo
Contributions:11 commits, 11 pushes, 4 branches in 4 months
real-timetandemvisual-odometrycorlmulti-view
[ECCV '22] Intrinsic Neural Fields: Learning Functions on Manifolds
Contributions:15 commits, 15 pushes, 1 branch in 1 month
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