Luis Cubillos, PhD
Luis Cubillos, PhD

Neuroengineer

Chestek Lab, University of Michigan

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!

Download CV
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
Luis Cubillos, PhD, Guy Revach, Matthew J. Mender, Joseph T. Costello, Hisham Temmar, Aren Hite, Diksha Zutshi, Dylan M. Wallace, Xiaoyong Ni, Madison M. Kelberman (2024). Exploring the trade-off between deep-learning and explainable models for brain-machine interfaces. Accepted at NeurIPS 2024.
Cite URL
Joseph T. Costello, Hisham Temmar, Luis Cubillos, PhD, Matthew J. Mender, Dylan M. Wallace, Madison Kelberman, Omer Benharush, Jeremy Simons, Matthew S. Willsey, Nishant Ganesh Kumar (2024). Sparse neural networks enable low-power, implantable neural interfaces. bioRxiv.
Cite URL
Thomas E. Augenstein, Deepak Nagalla, Alexander Mohacey, Luis Cubillos, PhD, Mei-Hua Lee, Rajiv Ranganathan, Chandramouli Krishnan (2024). A novel virtual robotic platform for controlling six degrees of freedom assistive devices with body-machine interfaces. Computers in Biology and Medicine.
Cite URL
Luis Cubillos, PhD, Elliott J. Rouse, Thomas E. Augenstein, Varun Joshi, Edward S. Claflin, Chandramouli Krishnan (2024). Reliability and minimal detectable change of stiffness and other mechanical properties of the ankle joint in standing and walking. Gait & Posture.
Cite URL
Hisham Temmar, Matthew S. Willsey, Joseph T. Costello, Matthew J. Mender, Luis Cubillos, PhD, Jordan Lw Lam, Dylan M. Wallace, Madison M. Kelberman, Parag G. Patil, Cynthia A. Chestek (2024). Artificial neural network for brain-machine interface consistently produces more naturalistic finger movements than linear methods. bioRxiv.
Cite URL
See all publications