Kora Hughes is a PhD student of Electrical and Computer Engineering and GEM Fellow at Carnegie Mellon University. Her research interests lie at the intersection of machine learning, human health, and robotic control. She currently works out of the ∀ (For All) and NeuroMechatronics Labs where she is investigating the optimization of non-invasive electrical stimulation models toward closed-loop neurofeedback in prosthetic control.
PhD Electrical and Computer Engineering
Carnegie Mellon University
MS Computer Science
New York University, Tandon School of Engineering
BS Computer Science, Minor Mathematics
New York University, Tandon School of Engineering
At heart, I am a data scientist interested in applying ML and statistical models toward cyberphysical systems interfacing with human health. With the help of my coadvisors Pulkit Grover and Doug Weber, my research is centered around leveraging neurostimulation to make the interaction with and manipulation of brain-machine interfaces like neuroprosthetics more robust and versatile.
I hope to develop a range of qualitative and quantitative methods to bolster the role of neural data and other biometrics in human-robot interaction and healthcare.