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.
10 years of coding experience
Master'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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