• MS in Computational Biomedical Engineering, 2023

    Carnegie Mellon University, Pittsburgh, PA

  • BS in Computer Science, 2021

    University of Minnesota-Twin Cities

Project Lead

A nuanced understanding of the strategies that people who are blind or visually impaired employ to perform different instrumental activities of daily living (iADLs) is essential to the success of future visual accessibility aids.

Project Affiliate

This research explores the integration of computer vision into various assistive devices, aiming to enhance urban navigation and environmental interaction for individuals who are blind or visually impaired.


We present a series of analyses on the shared representations between evoked neural activity in the primary visual cortex of a blind human with an intracortical visual prosthesis, and latent visual representations computed in deep neural networks.

Our interview study found a significant gap between researcher expectations and implantee experiences with visual prostheses, underscoring the importance of focusing future research on usability and real-world application.