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.

Recent News

10/2021: I am giving a talk "What can we learn from unlabeled videos?" at TECHSUYO 2021 right before Peruvian congressman on science and technology on Saturday October 16th. Tune in to learn more about research and VC in Peru and Latin America.

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.


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

Please consider donating to the Institute for International Education Scholar Rescue Fund, a fellowship for threatened scholars around the world.