Daniel Marta

PHD Graduate Student

Solna kommun, Sweden
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Summary

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Senior
🎓
Top School
Daniel Marta is a PhD researcher and aerospace engineer with a decade of experience applying machine learning to avionics, robotics, and human-robot interaction. His background spans academia and industry, including research roles at TU Delft, KTH/ RPL, a research exchange at Yale, and work on ML libraries at Latent Logic prior to its acquisition by Waymo. He focuses on reinforcement learning and HRI research, with practical experience deploying learning agents for perception and continuous control across distributed systems. Comfortable bridging theory and production, he brings uncommon cross-domain expertise in aerospace combinatorial problems and autonomous vehicle ML. Based in Solna, Sweden, he combines rigorous academic training with a track record of impactful collaborations across top labs and industry teams.
code10 years of coding experience
bookMaster's degree, MSc Student in Aerospace Engineering, Avionics, 16/20, Master's degree, MSc Student in Aerospace Engineering, Avionics, 16/20 at Instituto Superior Técnico
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Github Skills (97)

ml-agents10
serve10
simulations10
deep-reinforcement-learning10
unity3d10
reinforcement-learning10
intelligent10
unreal-engine-49
simulator9
deep-learning9
traffic9
ros9
transport9
simulation9
imitation-learning9

Programming languages (10)

C#TypeScriptJavaC++ShellCJavaScriptJupyter Notebook

Github contributions (5)

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Repository hosting the code for the 2022 Robotics, Perception and Learning hackathon
Contributions:47 reviews, 1 PR, 58 pushes in 9 days
hostingroboticsperception
DanielLSM/traces

May 2019 - Jan 2020

Contributions:132 pushes, 6 branches in 8 months
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Daniel Marta - PHD Graduate Student