Darianne Sanchez is a Biomedical Engineering PhD student in the Regenerative Neurobiology and Neuroelectronics Laboratory (RNNL) at the University of Arizona. She graduated from the University of Arizona in 2023 with a Bachelor of Science in Biomedical Engineering and Applied Mathematics. While completing her undergraduate degree, she took part in research performed at the Arizona Performance Lab to investigate applications of consumer wearable devices, specifically Fitbit and Actigraph, for movement characterization in young adults as they perform daily activities including walking, running, stair climbing, and sitting down/standing up. In the later years of her undergraduate studies, she utilized machine learning networks to construct multi-contrast magnetic resonance imaging (MRI) results for missing or noisy contrast images from clear existing contrast images. Her current research focuses on investigating the waveforms that correspond to evoked motor activity via a tilt assay.
Research Interests Machine Learning, Peripheral Nerve Injury, Biomechanics, Prosthetics.
Contact