Angélica Vélez

Research Interests

Broadly, I am interested in developing technological tools for improving the functionality and quality of life of individuals who are impacted by neurological illnesses. Individuals with conditions such as Amyotrophic Lateral Sclerosis (ALS), Locked-In Syndrome, and brainstem strokes develop speech impairments that make communication and self-expression increasingly difficult. My research involves using neural recording technologies (e.g., MEG), language models, and deep learning models to reconstruct speech from neural activity during language-related activities, which will allow those with speech impairments to communicate more freely. 

Degree

B.S. University of Florida, FL, 2024 

Publications

Journal articles (In preparation)

  1. L. Ru, A. Vélez, B. Ahmadi, A. Babajani-Feremi, “Reconstructing perceived speech using magnetoencephalography and deep learning,” [Manuscript in Preparation]. University of Florida, 2025.
  2. A. Vélez, B. Ahmadi, L. Ru, A. Babajani-Feremi, “Language decoding with non-invasive brain-computer interfaces: A comprehensive review,” [Manuscript in Preparation]. University of Florida, 2025.

Conference papers & abstracts

  1. Vélez, L. Ru, B. Ahmadi, and A. Babajani-Feremi, “Reconstructing perceived speech using magnetoencephalography and deep learning” The annual meeting of the society for neuroscience (SFN), San Diego, November 15–19, 2025.
  2. B. Ahmadi, A. Vélez, B. Askan, M. Armstrong, M. Reisi-Gahrooei, and A. Babajani-Feremi, “Hidden players in MCI: how Lewy body pathology hastens Alzheimer’s disease progression,” The Society for Neuroscience (SfN), San Diego, California, Nov. 15–19, 2025.