Dorian Henning
Applied Scientist at Amazon
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolDorian Henning is an Applied Scientist at Amazon Robotics in Berlin with nine years of experience bridging academic research and production-scale robotic systems. He completed a PhD at Imperial College London focused on robotics, computer vision, and machine learning under Stefan Leutenegger and Andrew Davison, and spent time as a Google Research student researcher, bringing cutting-edge perception research into industry. His background spans mechatronics and mechanical engineering from ETH Zürich and MIT, with hands-on internships at KUKA and research roles in drone simulation, visual servoing, and path planning. Known for moving ideas from simulation to real-world robotic deployments, he combines strong C++/ROS/OpenCV engineering with a researcher's rigor. A less obvious strength is his early work in blockchain consulting and hydrogen systems, reflecting a practical curiosity across diverse engineering domains.
9 years of coding experience
1 year of employment as a software developer
Graduate Researcher Nanotechnology, Graduate Researcher Nanotechnology at Karolinska InstitutetDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Imperial College LondonAbitur, Abitur at Privates Internatsgymnasium Schloss TorgelowMaster of Science (M.Sc.) Mechanical Engineering, Master of Science (M.Sc.) Mechanical Engineering at Massachusetts Institute of TechnologyMaster of Science (M.Sc.) Mechanical Engineering, Master of Science (M.Sc.) Mechanical Engineering at ETH Zürich
Stackoverflow
1,469reputation
108kreached
77answers
14questions
Github Skills (33)
coordinates9
blockchain9
ethereum9
camera9
intel8
pose7
pcl7
go7
ros7
p2p7
jupyter-notebook6
point-cloud6
golang6
abi6
opencv6
Programming languages (3)
Github contributions (5)
dorianhenning/rs4se
Nov 2019 - Jan 2022
Intel RealSense D435i wrapper for state estimation
Contributions:5 pushes, 1 branch in 2 years 1 month
d435iintelestimationstate-estimationrealsense
dorianhenning/SPIN
Oct 2019 - Mar 2020
Repository for the paper "Learning to Reconstruct 3D Human Pose and Shape via Model-fitting in the Loop"
Contributions:10 pushes, 1 branch in 5 months
pytorchhuman-posedeep-learningcomputer-vision3d-human-pose
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