Postdoctoral Research Fellow at Radboud University
Nijmegen, Gelderland, Netherlands
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Hari Kalidindi is a postdoctoral researcher with a decade of experience applying deep learning, computational neuroscience, and robotic motion planning to understand and emulate human and soft-bodied motor control. Currently based at Radboud University after a postdoc at UC Louvain, he combines psycho-physical experiments, kinematic and EMG recordings, and statistical modeling to quantify motor behavior. His background spans PhD-level computational science and mechatronics, bridging theory and hands-on experimentation from eye and limb movement modeling to octopus-trunk-inspired soft manipulator research. Known for integrating neuroscience insights with practical control algorithms, he brings a rare mix of experimental rigor and machine learning fluency to problems in embodied intelligence.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy, Computational Science, Honors, Doctor of Philosophy, Computational Science, Honors at Scuola Superiore Sant'Anna
Master of Science (MS), Mechatronics, Robotics, and Automation Engineering, Excellence, Master of Science (MS), Mechatronics, Robotics, and Automation Engineering, Excellence at IIIT Hyderabad
Bachelor of Technology (BTech), Electrical and Electronics Engineering, Bachelor of Technology (BTech), Electrical and Electronics Engineering at Visvesvaraya National Institute of Technology
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Hari Kalidindi - Postdoctoral Research Fellow at Radboud University