Luis Cubillos, PhD
Luis Cubillos, PhD

Neuroengineer

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 am looking for job opportunities related to signal processing and ML for health and wearable applications.

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
  • Neuromodulation
  • Rehabilitation
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
(2025). Investigating the benefits of artificial neural networks over linear approaches to BMI decoding. Journal of Neural Engineering.
(2025). Exploring Synergies in Brain-Machine Interfaces: Compression vs. Performance. bioRxiv.
(2024). Exploring the trade-off between deep-learning and explainable models for brain-machine interfaces. Accepted at NeurIPS 2024.
(2024). Sparse neural networks enable low-power, implantable neural interfaces. bioRxiv.
(2024). A novel virtual robotic platform for controlling six degrees of freedom assistive devices with body-machine interfaces. Computers in Biology and Medicine.