Rebecca Miko
PhD Candidate
United Kingdom
Summary
👤
Senior🎓
Top SchoolRebecca Miko is a robotics engineer and PhD candidate with 8 years' experience building sensor-driven autonomous systems, specializing in real-time data pipelines and computationally efficient neural algorithms for edge deployment. She has a proven track record integrating novel gas and environmental sensors onto wheeled, quadruped, and humanoid platforms, delivering end-to-end prototypes from custom mechanical assembly and PCBs to CI/CD-managed ROS and Python/C++ codebases. Her research blends neuromorphic/spiking neural networks with practical control on resource-constrained hardware, and she has led junior researchers while collaborating across materials science and neuromorphic computing groups. Seeking industry roles, she brings hands-on hardware integration, field-tested autonomy, and an unusual combination of computational neuroscience insight with production-focused engineering.
8 years of coding experience
3 years of employment as a software developer
PHD Candidate, Neural Networks and Algorithms for Gas- based Control in Robotics, PHD Candidate, Neural Networks and Algorithms for Gas- based Control in Robotics at University of Hertfordshire
English, German
Github Skills (8)
computational-neuroscience9
machine-learning7
robot5
robotics4
occupancy-grid-map4
ignition4
simulator4
simulation3
Programming languages (2)
Github contributions (5)
r-miko/UH-biocomputation-web
Oct 2017 - Oct 2017
Contributions:3 pushes, 1 branch in 7 days
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