I'm a final year Ph.D. candidate in the Center for Theoretical Neuroscience at Columbia University advised by Liam Paninski and John Cunningham. Previously I was a student researcher at Google AI Brain working on Reliable Deep Learning.  Before this, I got my BS and MS with Honors in Electrical Engineering at KU. My work has been supported by the Institute for International Education and Fulbright Peru.

My work focuses on building reliable deep learning systems for scientific discovery. My work on functional imaging data, pose estimation and behavioral segmentation has been used by scientists and companies, including Q-state biosciences, the Internal Brain Laboratory, and the Zuckerman Institute. I have also done work evaluating the reliability of Large Language and Vision Models at Google, and the efficacy of tools such as deep ensembles.