Jeffrey A. Chan-Santiago

Aren't the machines too intelligent to be supervised?

At my Home Office

in Bayamón, Puerto Rico

Hello, my name is Jeffrey Chan, a student from the applied mathematics program at the University of Puerto Rico, Rio Piedras, and Puerto Rico LSAMP Bridge to the Doctorate Fellow. I am currently working with the BigDBee Project, focusing on self-supervised models for the robust re-identification of honeybees in their natural habitat. Among my research interests are self-supervision, computer vision, and representation learning in order to reduce human supervision.

I received a B.Sc in Computer Science with a double concentration in mathematics at the University of Puerto Rico, Rio Piedras (2019). As ICPC Contestant, my team reached the Caribbean finals two years in a row (2016, 2017).

I enjoy cooking, I am not Gordon Ramsey, but you can find me constantly improving recipes to make it my own by mixing with Puerto Rican, Peruvian, and Chinese cuisine. Among my favorite recipes are pesto fettuccini with rib-eye steak, Peruvian Lomo Salteado, and my version of chicken chow mein with fried plantains.

news

May 21, 2022
Honeybee re-identification in video, new datasets and experimental study of the impact of self-supervision, has been accepted for Poster Presentation at Track 2 of CV4Animals Workshop at CVPR2022.
Dec 27, 2021
Automated Video Monitoring of Unmarked and Marked Honey Bees at the Hive Entrance, has been accepted at Frontiers in Computer Science.
Nov 17, 2021
Honeybee re-identification in video, new datasets and experimental study of the impact of self-supervision, has been accepted as a Short Paper at the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications.
May 7, 2021
Accepted to participate in Eastern European Machine Learning Summer School will be held virtually on July 7-15, 2021.
Feb 16, 2021
Talk Accepted at 36th Seminario Interuniversitario de Investigación en Ciencias Matemáticas will be held virtually (via Zoom) on February 26-27, 2021.