Principal Investigator: Dr. Hua Lee, Electrical and Computer Engineering
During my time as an independent graduate researcher with the Imaging Systems Lab, I explored means of classifying COVID-19, pneumonia, and normal chest x-ray images using deep neural networks with TensorFlow in Python.
The result is a Python program capable of detecting pneumonia and coronavirus given an x-ray image of the chest, with accuracy up to 95.7%. This yields a cheap, fast, and widely available alternative to RT-PCR testing for low-GDP countries without the laboratory resources required to process patient DNA samples.
Principal Investigator: Dr. Michael Beyeler, Computer Science
The Bionic Vision Lab is using computational modeling of human, animal, computer, and prosthetic vision to restore useful vision for people with diseases such as age-related macular degeneration and retinitis pigmentosa.
During my time with the group as an undergraduate research assistant, I worked on sourcing, preprocessing, and stitching together Optical Coherence Tomography (OCT) retinal slices to create a 3D reconstruction of the retina, in Python and Google Colab, for placement of a potential smart contact lens.
