Luis Cubillos, PhD
Luis Cubillos, PhD

ML Research Scientist

I’m a passionate engineer with a background in Computer Science and Robotics. During my Ph.D., I focused on applying ML models to physiological signals such as from the brain and muscles and have published my work on top venues like NeurIPS.

I’m currently an ML Research Scientist at Phantom Neuro in Austin, TX. Phantom Neuro is building an implantable EMG device for improving prosthetic control. As an ML scientist, I work on making that control more reliable and usable in the real world.

I’d love to hear from you—reach out via email anytime!

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Interests
  • Brain-computer interfaces
  • Wearable devices
  • Robotics
  • Explainable machine learning
  • Prosthetic control
  • Medical devices
Education
  • PhD in Robotics, 2025

    University of Michigan

  • M.S. in Robotics, 2023

    University of Michigan

  • BSc Computer Science & Robotics, 2018

    Pontificia Universidad Catolica de Chile

Publications
(2026). Regenerative peripheral nerve interfaces (RPNIs) and implanted electrodes improve online control of prostheses for hand and wrist. Journal of Neural Engineering.
(2026). Exploring Synergies in Brain-Machine Interfaces: Compression vs. Performance. Restorative Neurology and Neuroscience.
(2026). Functional electrical stimulation and brain-machine interfaces for simultaneous control of wrist and finger flexion. Journal of NeuroEngineering and Rehabilitation.
(2025). Long-term Intracortical Neural activity and Kinematics (LINK): An intracortical neural dataset for chronic brain-machine interfaces, neuroscience, and machine learning. NeurIPS 2025 Datasets and Benchmarks.
(2025). Investigating the benefits of artificial neural networks over linear approaches to BMI decoding. Journal of Neural Engineering.