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.
projects
plotbee
Plotbee is a library to process, manage and visualize pose-based detections of bees.
TraceSpace
TraceSpace is a concept to edit digitalized architectural plans based on the analog workflow to correct plans with layers.