We are a group of people who share interests in all aspects of constraint solving
and optimization. We do research on applications of constraints and on discovering
new constraint solving and optimization algorithms. We are also involved in
educational activities, and in outreach activities.

Team Lead

Dr. Martine Ceberio

						To learn more about Dr. Ceberio's research interests, please visit her home page.

Team Members

						Angel Garcia Contreras, PhD bio coming soon
						Leobardo Valera, PhD bio coming soon
						Jonatan M. Contreras Program: PhD, Computer Science. Prospective Graduation Date: May, 2024. I am interested in explainable AI, broadly. My main expertise is in machine learning applications but I am interested in applying theoretical methods such as Constraint Solving, Interval Analysis, and formal methods to help make machine learning results more interpretable. My GitHub
						Sara Gonzalez Program: PhD, Ecology and Evolutionary Biology. Prospective Graduation Date: May, 2024. As a certified teacher in the state of Texas, I strive to make my passion for science accessible to all. Coming from a family of engineers, I was involved in robotics through high school and became a mentor once graduating. Using my varied background, I hope to develop an application that harnesses the power of Computer Vision and Machine Learning to identify important Phenotypic Traits in the cosmopolitan Mallard complex, and use that information to expand our knowledge on Complex Genes using the Lavretsky Lab's Genomic studies.
						Andres Segura Program: BS, Computer Science. Prospective Graduation Date: May, 2024. I would like to use machine learning to solve unique problems in our world. I am currently working on classifying images using Convolutional Neural Networks. My LinkedIn. My GitHub.
						Jose Vega Program: BS, Computer Science. Prospective Graduation Date: May, 2024. I am interested in Constraint Solving, Interval Analysis, and machine learning. I am currently working on an interval analysis software as well as managing users on a new app. My GitHub.
						Stephan Deluna Program: BS, Computer Science. Prospective Graduation Date: May, 2024. Hello! I take interest in Neural Networks and Machine Learning. I've been coding for a while and though I wouldn't consider myself an Expert, I do have experience. My biggest interest lie inside Deep Learning and Neural Evolution of Augmenting Topologies.
						Angel Coronel Program: BS, Computer Science. Prospective Graduation Date: May, 2024. I will be doing a Software Engineering concentration under my degree with a minor in Mathematics. In the future, I hope to work for Google or Netflix and assist new projects they explore involving Machine Learning. My LinkedIn. My GitHub.

Affiliated Members

						Diego Aguirre, PhD bio coming soon
						Julio Urenda, PhD bio coming soon
						Natasha P. Ramos-Rivera Program: BS, Computer Science. Prospective Graduation Date: June, 2024. I am a computer science student at the University of Puerto Rico at Arecibo, affiliated with the CR2G. I had the opportunity to work with the CR2G group through the CAHSI organization, in which I could do research on local retraining of neural networks.
						Nathaniel Valdez-Cagua I am attending Kean University to learn about Computer Science and working on getting a Bachelor's degree in that field. I live with my mom and my dog. My hobbies are biking and playing video games.