I'm a Ph.D. candidate in the Center for Theoretical Neuroscience at Columbia University advised by Liam Paninski and John Cunningham, and a student researcher at Google AI Brain working on Reliable Deep Learning.

My research focuses on machine learning and computer vision for computational neuroscience and computational neuroethology. Before this, I got my BS and MS with Honors in Electrical Engineering at the University of Kansas. My work has been supported by the Institute for International Education and Fulbright Peru.

As a first generation student, I am passionate about helping other students get access to the tools necessary to succeed. Please contact me if there is a way I can help you. I have listed some useful resources here.