Jacques Kaiser is a machine learning engineer and robotics specialist with 11 years of experience bridging neuromorphic research and practical robot systems. He earned a PhD from KIT on neuromorphic vision and spiking neural network learning as part of the Human Brain Project, while also building neurorobotics tools and demonstrators using ROS at FZI. Comfortable across Python and C++, Jacques has full-stack startup experience and has taught ROS and machine learning to industry and university audiences. He combines rigorous academic methods (closed-form sensor fusion, neurorobotics experimentation) with hands-on system delivery, from web platforms to autonomous robot stacks. Based in Strasbourg, he brings a rare blend of neuroscience-informed ML and production robotics engineering that accelerates sensorimotor research into deployable prototypes.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, 1.0, Doctor of Philosophy - PhD, Computer Science, 1.0 at Karlsruhe Institute of Technology (KIT)
Bachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at Durham University
Master's degree, Graphics, Vision and Robotics, Master's degree, Graphics, Vision and Robotics at Université Joseph Fourier (Grenoble I)
Master's degree, Computer science and imaging, Master's degree, Computer science and imaging at Université Louis Pasteur (Strasbourg I)
Contributions:12 pushes, 1 branch in 5 years 9 months
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Jacques Kaiser - Machine Learning Engineer at DeepScenario GmbH