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.


08/2021: I am co-organizing the NeurIPS 2021 workshop on The Symbiosis of Deep Learning and Differential Equations (DLDE). Submission deadline: September 17th.

05/2021: Our paper Semi-supervised sequence modeling for improved behavioral segmentation was accepted to the Computer Vision for Animal Behavior Tracking and Modeling Workshop at CVPR 2021.

05/2021: I will be spending this summer at Google X.

04/2021: 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.

03/2021: We will be presenting DGP at Cosyne 2021. DGP is now available in NeuroCAAS, a drag-and-drop cloud platform for neuroscience.

01/2021: I gave a talk at Araya. Thanks to Kai Arulkumaran for the invitation.

12/2020: We will be presenting Deep Graph Pose (DGP), our new pose estimation algorithm with minimal training data, at NEURIPS 2020.

10/2020: 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)