I'm a Ph.D. candidate at Columbia University advised by Liam Paninski and John Cunningham. My research focuses on machine learning and computer vision for computational neuroscience and computational neuroethology. I am part of the Center for Theoretical Neuroscience and the Mortimer B. Zuckerman Mind Brain Behavior Institute at Columbia University. 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.


May 2021: I will be spending this summer at Google X.

April 2021: I passed my qualifying exam and I am now officially a Ph.D. Candidate. Thanks to my committee members Larry Abbott, Carl Vondrick, John Cunningham and Liam Paninski.

March 2021: We will be presenting DGP at Cosyne 2021. DGP is now available in NeuroCAAS, a drag-and-drop cloud platform for neuroscience.

January 2021: I gave a talk at Araya. Thanks to Kai Arulkumaran for the invitation.

December 2020: We will be presenting Deep Graph Pose (DGP), our new animal pose estimation algorithm, at NEURIPS 2020.

October 2020: I gave a talk Neuromatch 3.0. Thanks to the organizers for this opportunity.

I am originally from Lima, Peru. In the picture above I am hiking the Montañas de Siete Colores in Cusco, Peru. (July 2018)